| 1. |
|
|
| 2. |
- Azeem, A., et al.
(författare)
-
Simplified and Efficient Calibration of a Mechanistic Cutting Force Model for Ball-End Milling
- 2004
-
Ingår i: International journal of machine tools & manufacture. - : Elsevier. - 0890-6955 .- 1879-2170. ; 44:2-3, s. 291-298
-
Tidskriftsartikel (refereegranskat)abstract
- Accurate evaluation of the empirical coefficients of a mechanistic cutting force model is critical to the reliability of the predicted cutting forces. This paper presents a simplified and efficient method to determine the cutting force coefficients of a ball-end milling model. The unique feature of this new method is that only a single half-slot cut is to be performed to calibrate the empirical force coefficients that are valid over a wide range of cutting conditions. The instantaneous cutting forces are used with the established helical cutting edge profile on the ball-end mill. The half-slot calibration cut enables successive determination of the lumped discrete values of the varying cutting mechanics parameters along the cutter axis whereas the size effect parameters are determined from the known variation of undeformed chip thickness with cutter rotation. The effectiveness of the present method in determining the cutting force coefficients has been demonstrated experimentally with a series of verification test cuts.
|
|
| 3. |
- Cai, Ningxu, et al.
(författare)
-
Adaptive Setup Planning of Prismatic Parts by Tool Accessibility Examination
- 2005
-
Konferensbidrag (refereegranskat)abstract
- Setup planning for machining a part is to determine the number and sequence of setups (including machining features grouping in setups) and the part orientation of each setup. Tool accessibility plays a key role in this process. An adaptive setup planning approach for different types of multi-axis machine tools is proposed in this paper by investigating Tool Access Directions (TADs) of machining features, Tool Orientation Spaces (TOSs) of machine tools, and Primary Locating Directions (PLDs) of workpieces. In our approach, feasible TADs of a machining feature are predefined based on feature geometry and best practice knowledge, and denoted by unit vectors; The TOS of a machine tool is generated according to its configuration through kinematic analysis, and represented by a unit spherical surface patch; Primary locating directions and their priorities of a workpiece are determined based on the surface areas and the surface accuracy grades of non-machining surfaces. Starting from a 3-axis based machining feature grouping, setups for a 3-, 4- (or 3-axis with indexing table), or 5-axis machine can be achieved effectively by tool accessibility examination. A so-generated setup plan can provide not only the best coverage of machining features but the optimal orientation for each setup. Prismatic parts are considered in the proof-of-concept phase. Algorithms introduced here are implemented in MATLAB, and a case study is used to show the results.
|
|
| 4. |
- Cai, Ningxu, et al.
(författare)
-
Adaptive setup planning of prismatic parts for machine tools with varying configurations
- 2008
-
Ingår i: International Journal of Production Research. - : Taylor & Francis. - 0020-7543 .- 1366-588X. ; 46:3, s. 571-594
-
Tidskriftsartikel (refereegranskat)abstract
- Setup planning for machining a part is to determine the number and sequence of setups (including machining features grouping in setups) and the part orientation of each setup. Tool accessibility plays a key role in this process. An adaptive setup planning approach for various multi-axis machine tools is proposed in this paper focusing on kinematic analysis of tool accessibility and optimal setup plan selection. In our approach, feasible Tool Access Directions (TADs) of machining features are denoted by partially sequenced unit vectors; The Tool Orientation Spaces (TOS) of different multi-axis machine tools are generated according to their configurations through a kinematic model, and represented on a unit spherical surface. Starting from a 3-axis-based machining feature grouping, all possible setup plans of a given part for different types of machine tools (3-axis, 3-axis with an indexing table, 4-axis, and 5-axis machines) can be achieved effectively by tool accessibility examination. The optimal setup plans are selected from obtained candidates by evaluating both their locating and grouping factors. A so-generated setup plan can provide not only the best coverage of machining features and the primary locating directions but the optimal orientations of the work-piece for each setup. Only prismatic parts are considered in this proof-of-concept study, and the algorithms introduced in this paper are implemented in MATLAB. A case study is conducted to validate the algorithms.Setup planning for machining a part is to determine the number and sequence of setups (including machining features grouping in setups) and the part orientation of each setup. Tool accessibility plays a key role in this process. An adaptive setup planning approach for various multi-axis machine tools is proposed in this paper focusing on kinematic analysis of tool accessibility and optimal setup plan selection. In our approach, feasible Tool Access Directions (TADs) of machining features are denoted by partially sequenced unit vectors; The Tool Orientation Spaces (TOS) of different multi-axis machine tools are generated according to their configurations through a kinematic model, and represented on a unit spherical surface. Starting from a 3-axis-based machining feature grouping, all possible setup plans of a given part for different types of machine tools (3-axis, 3-axis with an indexing table, 4-axis, and 5-axis machines) can be achieved effectively by tool accessibility examination. The optimal setup plans are selected from obtained candidates by evaluating both their locating and grouping factors. A so-generated setup plan can provide not only the best coverage of machining features and the primary locating directions but the optimal orientations of the work-piece for each setup. Only prismatic parts are considered in this proof-of-concept study, and the algorithms introduced in this paper are implemented in MATLAB. A case study is conducted to validate the algorithms.
|
|
| 5. |
|
|
| 6. |
- Cai, Ningxu, et al.
(författare)
-
GA based Adaptive Setup Planning toward Process Planning and Scheduling Integration
- 2009
-
Ingår i: International Journal of Production Research. - : Taylor & Francis Group. - 0020-7543 .- 1366-588X. ; 47:10, s. 2745-2766
-
Tidskriftsartikel (refereegranskat)abstract
- Setup planning of a part for more than one available machine is a typical combinatorial optimisation problem under certain constraints. It has significant impact not only on the whole process planning but also on scheduling, as well as on the integration of process planning and scheduling. Targeting the potential adaptability of process plans associated with setups, a cross-machine setup planning approach using genetic algorithms (GA) for machines with different configurations is presented in this paper. First, based on tool accessibility analysis of different machine configurations, partially sequenced machining features can be grouped into certain setups; then by responding to the requirements from a scheduling system, optimal or near-optimal setup plans are selected for certain criteria, such as cost, makespan and/or machine utilisation. GA is adopted for the combinatorial optimisation, which includes gene pool generation based on tool accessibility examination, setup plan encoding and fitness evaluation, and optimal setup plan selection through GA operations. The proposed approach is implemented in a GA toolbox, and tested using a sample part. The results demonstrate that the proposed approach is applicable to machines with varying configurations, and adaptive to different setup requirements from a scheduling system due to machine availability changes. It is expected that this approach can contribute to process planning and scheduling integration when a process plan is combined with setups for alternative machines during adaptive setupplanning.
|
|
| 7. |
- Cai, Ningxu, et al.
(författare)
-
GA-based Adaptive Setup Planning with Machine Tool Capability and Availability
- 2007
-
Ingår i: Transactions of the North American Manufacturing Research Institution of SME. - 1047-3025. ; 35, s. 25-32
-
Tidskriftsartikel (refereegranskat)abstract
- In a machine shop, setup planning of a part for more than one available machine is a typical combinatorial optimization problem under certain constraints. Targeting adaptability of setup plans for multiple machines, an across-machine setup planning approach using genetic algorithms is presented in this paper, including (1) gene pool generation, (2) setup plan encoding and fitness evaluation, and (3) optimal setup plan selection through GA operations. The proposed approach is implemented In a GA toolbox, and tested by a sample part. The results demonstrate that this approach is not only applicable to machines with varying configurations, but also adaptive to shop floor schedule changes due to uncertainty.
|
|
| 8. |
- Endrias, Dawit H., et al.
(författare)
-
A combinatorial optimization approach for evaluating minimum-zone spatial straightness errors
- 2012
-
Ingår i: Measurement. - : Elsevier. - 0263-2241 .- 1873-412X. ; 45:5, s. 1170-1179
-
Tidskriftsartikel (refereegranskat)abstract
- This paper presents a new and robust approach for the accurate evaluation of minimumzone spatial straightness error from a set of coordinate measurement data points. The algorithm iteratively searches for the specific data points that define the minimum bound of the spatial straightness zone using combinatorial optimization. It is based on the fact that the minimum circumscribed cylinder of a point set, which is equivalent to the minimum spatial straightness zone of the measurement data, will pass through three, four, or five of the data points that constitute the convex hull vertices of the entire data set. Computed results have shown that although the presented approach may lead to increased computational time, it is robust and able to construct the exact minimum circumscribed cylinder for a given point set. The minimum-zone spatial straightness error can thus be evaluated with the best possible accuracy. The advantage of the presented algorithm is demonstrated via comparison with published computed results of existing algorithms.
|
|
| 9. |
- Feng, Hsi-Yung, et al.
(författare)
-
A Composite Fitting Model of Discrete Handbook Data for Peripheral End Milling
- 2009
-
Ingår i: The International Journal of Advanced Manufacturing Technology. - : Springer. - 0268-3768 .- 1433-3015. ; 44:5-6, s. 437-446
-
Tidskriftsartikel (refereegranskat)abstract
- Machining data handbooks are important reference books in the machining industry, as they provide recommended process parameter values for common machining operations. The machining data, although covering a wide range of relevant cutting conditions, are only listed under discrete cutting conditions. Rough interpolation-based calculations are often needed in order to estimate the process parameter values at the desired cutting condition. In this work, a compositefitting model is presented to fit a composite functional curve through the discrete handbook data of recommended cutting speeds and feeds with respect to the cutting condition of radial depth of cut for peripheral end milling. The objective is to establish a functional relationship from the handbook data such that recommended cutting speed and feed can be obtained for any given radial depth of cut. According to the tabulated layout of the machining data, the entire range of the radial depth of cut is divided into three segments having distinctive formulations and trends. Constraints are then imposed to preserve the trends and smoothly connect the adjacent segments. As a possible application of the presented model, a case study of machining a rectangular pocket is provided. Machining time of a potential process plan is readily evaluated based on the cutting speeds and feeds obtained from the composite model.
|
|
| 10. |
|
|
| 11. |
- Keshavarzmanesh, Shadi, et al.
(författare)
-
A hybrid approach for dynamic routing planning in an automated assembly shop
- 2010
-
Ingår i: Robotics and Computer-Integrated Manufacturing. - : Elsevier. - 0736-5845 .- 1879-2537. ; 26:6, s. 768-777
-
Tidskriftsartikel (refereegranskat)abstract
- Highly turbulent environment of dynamic job-shop operations affects shop floor layout as well as manufacturing operations. Due to the dynamic nature of layout changes, essential requirements such as adaptability and responsiveness to the changes need to be considered in addition to the cost issues of material handling and machine relocation when reconfiguring a shop floor’s layout. Here, based on the source of uncertainty, the shop floor layout problem is split into two sub-problems and dealt with by two modules: re-layout and find-route. GA is used where changes cause the entire shop re-layout, while function blocks are utilised to find the best sequence of robots for the new conditions within the existing layout. This paper reports the latest development to the authors’ previous work.
|
|
| 12. |
|
|
| 13. |
|
|
| 14. |
- Keshavarzmanesh, Shadi, et al.
(författare)
-
Design and simulation of an adaptive and collaborative assembly cell
- 2010
-
Ingår i: International Journal of Manufacturing Research. - : InderScience Publishers. - 1750-0591. ; 5:1, s. 102-119
-
Tidskriftsartikel (refereegranskat)abstract
- Nowadays, product-mix in small batches contributes to shop floor uncertainties, whereas distributed resources are handled collaboratively during assembly planning. There is a growing need to develop methods that can increase adaptability and flexibility in dynamic and collaborative job-shop assembly floors. Based on our previous work on an assembly planning framework using Function Blocks (FBs), a novel approach to assembly planning and control is developed, which enables adaptive decision making besides effective plan execution. Following our previous work, this paper reports the latest development of design and simulation of an FB communication network in Matlab-Simulink environment, and validates the methodology through an example.
|
|
| 15. |
- Keshavarzmanesh, Shadi, et al.
(författare)
-
Increasing Adaptability of Assembly Planning and Control with Embedded Decision-Making Capability
- 2009
-
Ingår i: Transactions of the North American Manufacturing Research Institution of SME. - : Society of Manufacturing Engineers. - 1047-3025. ; 37, s. 533-540
-
Tidskriftsartikel (refereegranskat)abstract
- In our previous work, a framework and a new methodology for adaptive assembly process planning using function block (FB) concept was introduced. Function blocks are adopted to deal with dynamic job shop assembly floors, where product-mix often in small batches contributes to manufacturing uncertainty, making adaptability an important item on a company's wish list. FB-enabled assembly planning and control enables not only adaptive decision making but effective plan execution. Following our previous work, this paper reports the development of simulating a function block communication network in the Matlab Simulink environment and demonstrating the implementation of the methodology through an example.
|
|
| 16. |
- Keshavarzmanesh, Shadi, et al.
(författare)
-
Two-Stage Hybrid Adaptive Assembly Layout Planning
- 2010
-
Ingår i: Transactions of the North American Manufacturing Research Institution of SME. - : Society of Manufacturing Engineers, North American Manufacturing Research Institution. - 1047-3025. ; 38, s. 735-742
-
Tidskriftsartikel (refereegranskat)abstract
- The manufacturing environment today is highly turbulent. Hence, the potential to alter factory layout has transformed the layout problem from considering long-term material handling costs to considering essential requirements, such as adaptability and proactive responsiveness to dynamic changes. This is beyond the costs of material handling and machine relocation when reconfiguring the layout. As continuation of the authors’ previous work, this paper proposes to incorporate function block methodology in dealing with the layout issues in the frequently changing environment of job-shop assembly operations so as to increase the autonomy and adaptability of the assembly operations against changes.
|
|
| 17. |
- Ma, Ji, et al.
(författare)
-
Automatic construction of watertight manifold triangle meshes from scanned point clouds using matched umbrella facets
- 2017
-
Ingår i: Computer-Aided Design and Applications. - : CAD Solutions, LLC. - 1686-4360. ; 14:6, s. 742-750
-
Tidskriftsartikel (refereegranskat)abstract
- Generation of watertight manifold triangle meshes from scanned point clouds has emerged asa key task in computer-aided design and inspection. An effective algorithm is presented in thispaper, targeting the automatic creation of such triangle meshes from unorganized, scanned datapoints. The algorithm builds on the initial version of the Umbrella Facet Matching (UFM) algorithmdeveloped by the authors. The mesh generation process starts with Delaunay triangulation of thegiven point cloud to determine the Delaunay triangle set at each data point. The algorithm thenseeks to iteratively generate, in parallel, the local 2-dimensional manifold triangle mesh, resem-bling the shape of an open umbrella, at each data point from its Delaunay triangle set that fullyoverlaps with its neighboring umbrellas. Particularly, a four-level inheritance priority queuing mech-anism is introduced to enhance the prioritization and ordering of the Delaunay triangles at eachdata point in order to facilitate the iterative establishment of the fully matched umbrella accordingto the most updated umbrella facet matching results. The presented method has been imple-mented and validated through a series of minimally post-processed scanned point cloud data setsfrom physical objects with complex geometry. Improved computational convergence has beenobserved, which promotes the construction of watertight manifold triangle meshes. The compar-ison results have demonstrated that the enhanced UFM algorithm outperforms the initial UFMalgorithm and an industrial software tool in creating quality triangle meshes from actual scannedpoint clouds
|
|
| 18. |
- Ma, Ji, et al.
(författare)
-
Delaunay-Based Triangular Surface Reconstruction from Points via Umbrella Facet Matching
- 2010
-
Ingår i: Proceedings of the 6th IEEE Conference on Automation Science and Engineering. - : IEEE conference proceedings. - 9781424454488 - 9781424454471 ; , s. 580-585
-
Konferensbidrag (refereegranskat)abstract
- This paper presents an effective algorithm to reconstruct a closed 3D triangular surface mesh from a set of unorganized points based on Delaunay triangles. The algorithm essentially seeks to construct an optimal local 2D manifold surface (umbrella) at each individual point in parallel. The underlying principle is that for any point, there always exists a cluster of triangular facets, selected from the Delaunay triangles at the point, to constitute the shape of an opened umbrella. If a triangular facet belongs to all three umbrellas of its three vertices, the triangular facet is considered as a matched facet. When all triangular facets of an umbrella are matched facets, the umbrella is regarded as a matched umbrella which fully overlaps with its neighboring umbrellas. A topologically correct triangular surface mesh is then constructed when the matched umbrella for every individual point is found. The proposed Umbrella Facet Matching (UFM) algorithm has been implemented and validated using many publicly available point cloud data sets. The algorithm is seen to be of good convergence and without the need for further hole-filling post-processing. And the reconstructed surface meshes only contain minor shape approximation errors, when compared to the original surfaces of the sampled points.
|
|
| 19. |
- Ma, Ji, et al.
(författare)
-
Feature Sensitive Mesh Reconstruction by Normal Vector Cone Filtering
- 2011
-
Ingår i: PROCEEDINGS OF THE ASME INTERNATIONAL DESIGN ENGINEERING TECHNICAL CONFERENCES AND COMPUTERS AND INFORMATION IN ENGINEERING CONFERENCE, 2011, VOL 2, PTS A AND B. - : ASME Press. ; , s. 619-628
-
Konferensbidrag (refereegranskat)abstract
- Automatic and reliable reconstruction of sharp features remains an open research issue in triangle mesh surface reconstruction. This paper presents a new feature sensitive mesh reconstruction method based on dependable neighborhood geometric information per input point. Such information is derived from the matching result of the local umbrella mesh constructed at each point. The proposed algorithm is different from the existing post-processing algorithms. The proposed algorithm reconstructs the triangle mesh via an integrated and progressive reconstruction process and features a unified multi-level inheritance priority queuing mechanism to prioritize the inclusion of each candidate triangle. A novel flatness sensitive filter, referred to as the normal vector cone filter, is introduced in this work and used to reliably reconstruct sharp features. In addition, the proposed algorithm aims to reconstruct a watertight manifold triangle mesh that passes through the complete original point set without point addition and removal. The algorithm has been implemented and validated using publicly available point cloud data sets. Compared to the original object geometry, it is seen that the reconstructed triangle meshes preserve the sharp features well and only contain minor shape deviations.
|
|
| 20. |
-
The Seventeenth Data Release of the Sloan Digital Sky Surveys : Complete Release of MaNGA, MaStar, and APOGEE-2 Data
- 2022
-
Ingår i: Astrophysical Journal Supplement Series. - : Institute of Physics (IOP). - 0067-0049 .- 1538-4365. ; 259:2
-
Tidskriftsartikel (refereegranskat)abstract
- This paper documents the seventeenth data release (DR17) from the Sloan Digital Sky Surveys; the fifth and final release from the fourth phase (SDSS-IV). DR17 contains the complete release of the Mapping Nearby Galaxies at Apache Point Observatory (MaNGA) survey, which reached its goal of surveying over 10,000 nearby galaxies. The complete release of the MaNGA Stellar Library accompanies this data, providing observations of almost 30,000 stars through the MaNGA instrument during bright time. DR17 also contains the complete release of the Apache Point Observatory Galactic Evolution Experiment 2 survey that publicly releases infrared spectra of over 650,000 stars. The main sample from the Extended Baryon Oscillation Spectroscopic Survey (eBOSS), as well as the subsurvey Time Domain Spectroscopic Survey data were fully released in DR16. New single-fiber optical spectroscopy released in DR17 is from the SPectroscipic IDentification of ERosita Survey subsurvey and the eBOSS-RM program. Along with the primary data sets, DR17 includes 25 new or updated value-added catalogs. This paper concludes the release of SDSS-IV survey data. SDSS continues into its fifth phase with observations already underway for the Milky Way Mapper, Local Volume Mapper, and Black Hole Mapper surveys.
|
|
| 21. |
- Wang, Lihui, et al.
(författare)
-
A function block based approach for increasing adaptability of assembly planning and control
- 2011
-
Ingår i: International Journal of Production Research. - : Taylor & Francis. - 0020-7543 .- 1366-588X. ; 49:16, s. 4903-4924
-
Tidskriftsartikel (refereegranskat)abstract
- Today's market turbulences cause frequent changes in manufacturing environments. Products diversity, small batch sizes and short life cycles have increased production uncertainties and created a highly dynamic shop floor environment. One essential requirement of such an environment is an adaptive planning and control system that is sufficiently agile to respond to the variety of production requirements and enable easy system reconfiguration at run-time. When developing a product, assembly is a key area that impacts the manufacturing system's responsiveness to the changes. In this research, a framework and a new methodology are introduced to increase the adaptability and autonomy of job-shop assembly process planning and control using function blocks (FBs). A function block is a reusable functional module with an explicit event-driven model, and provides for data flow and finite state automata based control. Event-driven and FB-enabled decision-making is unique in adaptive assembly planning and control. It is explained through an example of a two-robot assembly work cell, where the result of the adaptive planning is wrapped in FBs for execution. The proposed approach has been implemented and simulated using Matlab Simulink in the case study. The simulation demonstrates how this approach would increase the adaptability and responsiveness to changes that may occur regularly in dynamic job-shop assembly operations.
|
|
| 22. |
- Wang, Lihui, et al.
(författare)
-
A Hybrid Approach for Dynamic Assembly Shop Floor Layout
- 2010
-
Ingår i: Proceedings of the 6th IEEE Conference on Automation Science and Engineering. - : IEEE conference proceedings. - 9781424454488 - 9781424454471 ; , s. 604-609
-
Konferensbidrag (refereegranskat)abstract
- Highly turbulent environment of dynamic job-shop operations affects the shop floor layout problem as well as other areas. Due to frequently altering needs of layout, essential requirements such as adaptability and proactive responsiveness to the dynamic changes need to be considered in addition to the materials handling and machine relocation costs when a shop floor is reconfigured from one layout to the next. Targeting the autonomy and adaptability of dynamic and distributed job-shop assembly operations, this paper proposes to incorporate function block methodology to deal with the layout issues of the frequently changing environment. This is an extension to the authors’ previous work.
|
|
| 23. |
- Wang, Lihui, et al.
(författare)
-
Adaptive Manufacturing
- 2011
-
Ingår i: Journal of manufacturing systems. - : Elsevier. - 0278-6125 .- 1878-6642. ; 30:3, s. 117-117
-
Tidskriftsartikel (refereegranskat)
|
|
| 24. |
|
|
| 25. |
- Wang, Lihui, et al.
(författare)
-
An Adaptive and Optimal Setup Planning System
- 2008
-
Ingår i: Proceedings of the 4th IEEE Conference on Automation Science and Engineering. - : Institute of Electrical and Electronics Engineers (IEEE). - 9781424420230 ; , s. 67-72
-
Konferensbidrag (refereegranskat)abstract
- This paper presents an adaptive setup planning system that considers both the availability and capability of machines on a shop floor. It integrates scheduling functions at setup planning stage, and utilises a two-step decision-making strategy for generating machine-neutral and machine-specific optimal setup plans. The objective is to enable adaptive setup planning for dynamic job shop operations. Particularly, this paper documents basic algorithms and architecture of the setup planning system for dynamically assigned machines. It is then validated through a case study.
|
|
| 26. |
- Wang, Lihui, et al.
(författare)
-
An Architecture for Distributed Process Planning Using Function Blocks
- 2002
-
Ingår i: Transactions of the North American Manufacturing Research Institution of SME. - : Society of Manufacturing Engineers, North American Manufacturing Research Institution. - 1047-3025. ; 30, s. 613-620
-
Tidskriftsartikel (refereegranskat)abstract
- Today's machining shop floors, characterized by large variety of products in small batch sizes, require dynamic process planning capabilities that are responsive and adaptive to the rapid changes of production capacity and functionality. To meet the requirement, this research proposes a new methodology for dynamic and distributed process planning. The primary focus of this paper is on the architecture of a new approach using function blocks. The secondary focus is given to the other supporting technologies - machining features and agents. Different from conventional methods, this approach uses a two-layer structure - supervisory planning and operation planning. It is expected that the new architecture can improve the system performance for a dynamic environment.
|
|
| 27. |
- Wang, Lihui, et al.
(författare)
-
An Effective Approach for Distributed Process Planning Enabled by Event-driven Function Blocks
- 2007
-
Ingår i: Process Planning and Scheduling for Distributed Manufacturing. - : Springer London. - 9781846287510 ; , s. 1-30
-
Bokkapitel (refereegranskat)abstract
- This chapter presents a function block enabled approach towards distributed process planning. It covers the basic concept, generic machining process sequencing using enriched machining features, process plan encapsulation in function blocks, and process monitoring through event-driven function blocks. A two-layer structure of supervisory planning and operation planning is proposed to separate generic data from machine-specific ones. The supervisory planning is only performed once, in advance, at the shop level to generate machine-neutral process plans, whereas the operation planning is carried out at runtime at the machine level to determine machine-specific operations. This dynamic decision making is facilitated by resource-driven algorithms embedded in the function blocks. The internal structures of typical function blocks are also introduced in the chapter. Our approach and algorithms are verified through case studies before drawing conclusions. It is expected that the new approach can greatly enhance the dynamism of fluctuating job-shop operations.
|
|
| 28. |
- Wang, Lihui, et al.
(författare)
-
ASP : An Adaptive Setup Planning Approach for Dynamic Machine Assignments
- 2010
-
Ingår i: IEEE Transactions on Automation Science and Engineering. - : IEEE. - 1545-5955 .- 1558-3783. ; 7:1, s. 2-14
-
Tidskriftsartikel (refereegranskat)abstract
- This paper presents a decision-making approach towards adaptive setup planning that considers both the availability and capability of machines on a shop floor. It loosely integrates scheduling functions at the setup planning stage, and utilizes a two-step decision-making strategy for generating machine-neutral and machine-specific setup plans at each stage. The objective of the research is to enable adaptive setup planning for dynamic job shop machining operations. Particularly, this paper covers basic concepts and algorithms for one-time generic setup planning, and run-time final setup merging for dynamic machine assignments. The decision-making algorithms validation is further demonstrated through a case study.
|
|
| 29. |
|
|
| 30. |
- Wang, Lihui, et al.
(författare)
-
Design and Event-Driven Control of Function Blocks for Adaptive Process Plan Execution
- 2005
-
Ingår i: Transactions of the North American Manufacturing Research Institution of SME 2005, Vol 33, 2005. - : Society of Manufacturing Engineers, North American Manufacturing Research Institution. - 0872637778 ; , s. 343-350
-
Konferensbidrag (refereegranskat)abstract
- In addition to complex job shop operations, shop floor uncertainty is another issue regularly challenging manufacturing engineers, including job delay, urgent job insertion, fixture shortage, missing tool, and even machine break-down. Targeting the fluctuation, this research proposes a DPP (distributed process planning) approach to generating adaptive process plans. Enabled by function blocks, a so-generated process plan is responsive and tolerant to an unpredictable change. This paper introduces in detail how a function block is designed and what it can do during process plan execution. It is expected that the new approach can largely enhance the dynamism of fluctuating job shop operations.
|
|
| 31. |
- Wang, Lihui, et al.
(författare)
-
Design of Adaptive Function Blocks for Dynamic Assembly Planning and Control
- 2008
-
Ingår i: Journal of manufacturing systems. - : Society of Manufacturing Engineers, North American Manufacturing Research Institution. - 0278-6125 .- 1878-6642. ; 27:1, s. 45-51
-
Tidskriftsartikel (refereegranskat)abstract
- In today's competitive market, the life cycle of products is shrinking while product variety is growing. The product mix in small batches contributes to manufacturing uncertainty. Meanwhile, ever-growing business globalization and outsourcing also influence manufacturing. In such a dynamic environment, adaptability is of great importance. It is essential to develop a system that enables not only adaptive decision making, but also effective decision execution. Targeting manufacturing uncertainty, this paper reports a new framework and methodology for adaptive assembly planning using function blocks, which can be used directly for assembly control.
|
|
| 32. |
|
|
| 33. |
- Wang, Lihui, et al.
(författare)
-
Encapsulating Detailed Machining Data in Function Blocks for Adaptive Manufacturing
- 2006
-
Ingår i: Transactions of the North American Manufacturing Research Institution of SME, volume 34, 2006. - 9780872638488 ; , s. 373-380
-
Konferensbidrag (refereegranskat)abstract
- This paper presents a function block enabled approach to process planning, execution control, and machining process monitoring. In addition to complex job shop operations, today's small-to-medium sized companies are challenged by various manufacturing uncertainties, including job delay, urgent job insertion, fixture shortage, missing tool, and even machine break-down. Targeting the dynamic issues, we propose a DPP (distributed process planning) approach to generating machine-neutral function blocks that are adaptive and tolerant to the changes. In this paper, we focus on basic function block design, machining data encapsulation and event-driven NC execution control, supported by a real metal cutting example.
|
|
| 34. |
|
|
| 35. |
|
|
| 36. |
- Wang, Lihui, et al.
(författare)
-
Function Block Design for Adaptive Execution Control of Job Shop Machining Operations
- 2009
-
Ingår i: International Journal of Production Research. - : Taylor & Francis. - 0020-7543 .- 1366-588X. ; 47:12, s. 3413-3434
-
Tidskriftsartikel (refereegranskat)abstract
- Small volume and high product mix contribute greatly to the complexity of job shop operations. In addition, shop floor uncertainty or fluctuation is another issue regularly challenging manufacturing companies, including job delay, urgent job insertion, fixture shortage, missing tools, and even machine breakdown. Targeting the uncertainty, we propose a function block-based approach to generating adaptive process plans. Enabled by the function blocks, a so-generated process plan is responsive and tolerant to an unpredictable change. This paper presents in detail how a function block is designed and what it can do during process plan execution. It is expected that this new approach can largely enhance the dynamism of fluctuating job shop operations.
|
|
| 37. |
|
|
| 38. |
- Wang, Lihui, et al.
(författare)
-
Generic Machining Sequence Generation Using Enriched Machining Features
- 2004
-
Ingår i: Transactions of the North American Manufacturing Research Institution of SME. - : Society of Manufacturing Engineers, North American Manufacturing Research Institution. - 1047-3025. ; 32, s. 55-62
-
Tidskriftsartikel (refereegranskat)abstract
- The manufacturing processes in today's decentralized manufacturing systems are rather complex, especially at shop floors where highly mixed products in small batch sizes are handled simultaneously. In addition to the fluctuating job shop operations, unpredictable issues like job delay, urgent job insertion, fixture shortage, missing tool, and even machine break-down, are regularly challenging the job shop operations. Targeting the fluctuation, this research proposes a DPP (distributed process planning) approach to generate process plans that are responsive and adaptive to the changes. In this paper, a concept of enriched machining feature is introduced, based on which several rules and algorithms are formulated for generic machining sequence generation. It is expected that the new approach can largely enhance the dynamism of fluctuating job shop operations.
|
|
| 39. |
|
|
| 40. |
- Wang, Lihui, et al.
(författare)
-
Overview of a Distributed Process Planning Approach Targeting Manufacturing Uncertainty
- 2006
-
Ingår i: Proceedings of the International Conference on Manufacturing Science and Engineering. ; , s. 595-604
-
Konferensbidrag (refereegranskat)abstract
- This paper presents an overview of our DPP (distributed process planning) approach, covering DPP concept, generic machining process sequencing using enriched machining features, process plan encapsulation in function blocks, and process monitoring enabled by the function blocks. A two-layer structure of Supervisory Planning and Operation Planning is proposed in DPP to separate generic data from machine-specific ones. The supervisory planning is only performed once, in advance, at shop level, whereas the operation planning is carried out at runtime at machine level. This dynamic decision-making is facilitated by a set of resource-driven algorithms embedded in the function blocks. The internal structures of typical function blocks are also introduced in the paper. The DPP approach and algorithms are further verified through a case study before drawing conclusions. It is expected that the new approach can largely enhance the dynamism of fluctuating job shop operations.
|
|
| 41. |
- Wang, Lihui, et al.
(författare)
-
Reconfigurable Facility Layout Design for Job-Shop Assembly Operations
- 2011
-
Ingår i: Multi-objective Evolutionary Optimisation for Product Design and Manufacturing. - London : Springer London. - 9780857296177 - 9780857296528 ; , s. 365-384
-
Bokkapitel (refereegranskat)abstract
- Highly turbulent environment of dynamic job-shop operations affects shop-floor layout as well as manufacturing operations. Due to the dynamic nature of layout changes, essential requirements such as adaptability and responsiveness to the changes need to be considered in addition to the cost issues of material handling and machine relocation when reconfiguring a shop floor’s layout. Here, based on the source of uncertainty, the shop-floor layout problem is split into two sub-problems and dealt with by two modules: re-layout and find-route. Genetic algorithm is used where changes cause the entire shop re-layout, while function blocks are utilized to find the best sequence of robots for the new conditions within the existing layout. This chapter reports the latest development to the authors’ previous work.
|
|
| 42. |
|
|
| 43. |
- Wang, Lihui, et al.
(författare)
-
Web-DPP : towards job-shop machining process planning and monitoring
- 2011
-
Ingår i: International Journal of Manufacturing Research. - : InderScience Publishers. - 1750-0591. ; 6:4, s. 337-353
-
Tidskriftsartikel (refereegranskat)abstract
- Outsourcing, joint ventures and cross-border collaborations have led to job environments geographically distributed. Targeting the distributed environment, the web has been widely used for developing collaborative applications due to its platform, network and operating system transparency and easy-to-use interface. Utilising the existing infrastructure, the objective of this research is to develop an integrated Web-based Distributed Process Planning (Web-DPP) system for job-shop machining operations and execution monitoring. Our approach engages a dispersed working group in a collaborative environment, allowing team members to share real-time information through the Web-DPP. This paper presents both the system design specification and the latest development.
|
|
| 44. |
- Wang, Lihui, et al.
(författare)
-
Web-DPP : A Distributed Process Planning System for Adaptive Machining Operations
- 2009
-
Ingår i: Proceedings of the 19th International Conference on Flexible Automation and Intelligent Manufacturing. - : Gemini International Ltd. - 9780956230331 - 9781615676279 ; , s. 186-193, s. 186-193
-
Konferensbidrag (refereegranskat)abstract
- Outsourcing, joint ventures, and cross-border collaborations have led to work environments geographically distributed across organizational and national boundaries. Targeting the distributed environment, the Web has been widely used for development of collaborative applications supporting dispersed working groups and organizations, because of its platform, network and operating system transparency, and its easy-to-use browser interface. The objective of this research is to develop an innovative Web-based distributed process planning system (Web-DPP) for machining operations. Our approach tries to engage a dispersed working group in a collaborative environment, allowing the team members to share real-time information through the Web-DPP. This paper presents both the system design specification and the latest development of this system.
|
|
