| 1. |
- Agic, Adnan, 1967-, et al.
(författare)
-
Dynamic effects on cutting forces with highly positive versus highly negative cutting edge geometries
- 2019
-
Ingår i: International Journal on Interactive Design and Manufacturing. - : Springer Science and Business Media LLC. - 1955-2513 .- 1955-2505. ; 13:2, s. 557-565
-
Tidskriftsartikel (refereegranskat)abstract
- Understanding the influence of the cutting edge geometry on the development of cutting forces during the milling process is of high importance in order to predict the mechanical loads on the cutting edge as well as the dynamic behavior on the milling tool. The work conducted in this study involves the force development over the entire engagement of a flute in milling, from peak force during the entry phase until the exit phase. The results show a significant difference in the behavior of the cutting process for a highly positive versus a highly negative cutting edge geometry. The negative edge geometry gives rise to larger force magnitudes and very similar developments of the tangential and radial cutting force. The positive cutting edge geometry produces considerably different developments of the tangential and radial cutting force. In case of positive cutting edge geometry, the radial cutting force increases while the uncut chip thickness decreases directly after the entry phase; reaching the peak value after a certain delay. The radial force fluctuation is significantly higher for the positive cutting edge geometry. The understanding of such behavior is important for modelling of the milling process, the design of the cutting edge and the interactive design of digital applications for the selection of the cutting parameters.
|
|
| 2. |
- Gong, Liang, 1985, et al.
(författare)
-
Development of virtual reality support to factory layout planning
- 2019
-
Ingår i: International Journal on Interactive Design and Manufacturing. - : Springer Science and Business Media LLC. - 1955-2505 .- 1955-2513. ; 13:3, s. 935-945
-
Tidskriftsartikel (refereegranskat)abstract
- Virtual reality (VR) technology has become ever mature today with affordable and yet powerful hardware. In the manufacturing industry, there is a growing interest of adopting VR to improve existing work procedures. Factory layout planning (FLP) is a long standing area in production engineering that sees great potentials of VR integration. Virtual reality supported layout planning (VLP) is gaining wider attention in research and practice as the virtual environment allows designers to test out “what if” scenarios in relative ease. However, previous research of VLP mostly focus on general layout planning but not the detailed level planning. Also, it is reported that the virtual modeling process is time-consuming and costly. In this study, we propose a point cloud based virtual factory modelling approach for the VLP tasks. It incorporates point cloud representation of physical environment with CAD data to model the virtual factory with the aims of simplifying the modelling process and improving decision-making for the VLP tasks. The proposed approach is exemplified and refined through three industrial cases. The implementations and results of the cases are highlighted and discussed in details. At the end, a general guidance for VLP is extracted and presented for future point cloud based VR support in FLP tasks.
|
|
| 3. |
- Madrid, Julia, 1988, et al.
(författare)
-
A Welding Capability Assessment Method (WCAM) to support multidisciplinary design of aircraft structures
- 2018
-
Ingår i: International Journal on Interactive Design and Manufacturing. - : Springer Science and Business Media LLC. - 1955-2505 .- 1955-2513. ; 12:3, s. 833-851
-
Tidskriftsartikel (refereegranskat)abstract
- Designing aircraft engines is a complex process in which requirements from multiple disciplines need to be considered. Decisions about product geometry and tolerances to achieve optimized aerodynamics, product life and weight can affect the manufacturing process. Therefore, providing information to designers about process capabilities is necessary to support design exploration and analysis. In this paper, the authors propose theWelding Capability Assessment Method (WCAM) as a tool to support the systematic identification and assessment of design issues related to product geometry critical to the welding process. Within this method, a list of potential failure modes during welding is connected to specific design parameters. Once the critical design parameters have been identified, quantitative methods are proposed to calculate tolerances to reduce the likelihood of welding failures. The application of this method is demonstrated through an industrial case study where a combination of interviews and welding simulations is used to study the welding capability of a number of product geometries. This method represents an advancement from traditional qualitative guidelines and expert judgments about welding difficulties towards a more quantitative approach, supporting virtual design.
|
|
| 4. |
- Madrid, Julia, 1988, et al.
(författare)
-
Automated and interactive evaluation of welding producibility in an multidisciplinary design optimization environment for aircraft components
- 2021
-
Ingår i: International Journal on Interactive Design and Manufacturing. - : Springer Science and Business Media LLC. - 1955-2505 .- 1955-2513. ; 15:4, s. 463-479
-
Tidskriftsartikel (refereegranskat)abstract
- The automation capabilities and virtual tools within engineering disciplines, such as structural mechanics and aerodynamics, enable efficient Multidisciplinary Design Optimization (MDO) approaches to evaluate and optimize the performance of a large number of design variants during early design stages of aircraft components. However, for components that are designed to be welded, in which multiple functional requirements are satisfied by one single welded structure, the automation and simulation capabilities to evaluate welding-producibility and predict welding quality (geometrical deformation, weld bead geometrical quality, cracks, pores, etc) are limited. Besides the complexity of simulating all phenomena within the welding process, one of the main problems in welded integrated components is the existing coupling between welding quality metrics and product geometry. Welding quality can vary for every new product geometrical variant. Thus, there is a need of analyzing rapidly and virtually the interaction and sensitivity coefficients between design parameters and welding quality to predict welding producibility. This paper presents as a result an automated and interactive welding-producibility evaluation approach. This approach incorporates a data-based of welding-producibility criteria, as well as welding simulation and metamodel methods, which enable an interactive and automated evaluation of welding quality of a large number of product variants. The approach has been tested in an industrial use-case involving a multidisciplinary design process of aircraft components. The results from analyzing the welding-producibility of a set of design variants have been plotted together with the analysis results from other engineering disciplines resulting in an interactive tool built with parallel coordinate graphs. The approach proposed allows the generation and reuse of welding producibility information to perform analyses within a big spectrum of the design space in a rapid and interactive fashion, thus supporting designers on dealing with changes and taking fact-based decisions during the multidisciplinary design process.
|
|
| 5. |
- Yazdi, Mohammad, et al.
(författare)
-
Knowledge acquisition development in failure diagnosis analysis as an interactive approach
- 2019
-
Ingår i: International Journal on Interactive Design and Manufacturing. - : Springer. - 1955-2513 .- 1955-2505. ; 13:1, s. 193-210
-
Tidskriftsartikel (refereegranskat)abstract
- Safety and reliability analysis is an important issue to prevent an event which may to occurrence of catastrophic accident in process industries. In this context, conventional safety and reliability assessment technique like as fault tree analysis have been widely used in this regards; however, they still suffer in subjective uncertainty processing and dynamic structure representation which are important in risk assessment procedure. In this paper, a new framework based on 2-tuple intuitionistic fuzzy numbers and Bayesian network mechanism is proposed to evaluate system reliability, to deal with mentioned drawbacks, and to recognize the most critical system components which affects the system reliability. The reliability and safety guarantee of such system in the aspect of continuity operations and enhancing the safety of operators and vehicle drivers are crucial. The results revealed that the proposed model could be useful for diagnosing the systems’ faults compared with listing approaches of safety and reliability analysis.
|
|
