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Sökning: WFRF:(Granlund Victor)

  • Resultat 1-8 av 8
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1.
  • Azamfirei, Victor, et al. (författare)
  • Harmonising design and manufacturing: a quality inspection perspective
  • 2021
  • Ingår i: 2021 26th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA). - 9781728129891
  • Konferensbidrag (refereegranskat)abstract
    • As manufacturing companies are becoming more global, dynamic, and competitive, contradictory demands intensify. Flexibility is a key enabler for meeting the challenges of a global market if offered at mass production price and quality. Many companies have adopted Flexible Manufacturing System (FMS) together with new technologies. Nevertheless, despite the drastic increase in industrial robots adoption, industrial robot applications continue today as they were designed 50 years ago. To obtain a flexible and reliable production system, it takes more than technology as quality depends on equipment and manufacturing processes. Non-adaptive industrial robots autonomy may be disrupted by the geometrical deformations of the fixtures. This paper presents a comprehensive case study of adopting a robotic in-line quality inspection in an automotive Original Equipment Manufacturer (OEM) to aid the robot-fixture collision problem. The purpose is to examine errors that occur in production processes and how quality inspection can mitigate such errors. Empirical data collection was carried out in the form of (i) interviews, (ii) participant observations, (iii) documents, and (iv) video recording of robot cells. Results show that contrary to the case company beliefs, the manufacturing system does not follow the FMS standards; thus, to harmonise resources design and manufacturing processes, adding a robotic in-line quality inspection station is not enough. First, the robotic in-line quality inspection should follow a “preventive” control strategy to avoid deviated fixturing from entering the robot line. Second, the managers should address the beliefs of operators and their activities in solving the robot-fixture collision problem. Moreover third, the robot gripper design needs to be updated to an appropriate one.
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2.
  • Azamfirei, Victor, et al. (författare)
  • Lessons from adopting robotic in-line quality inspection in the Swedish manufacturing industry
  • 2022
  • Ingår i: Procedia Computer Science. - : Elsevier B.V.. - 1877-0509. ; , s. 386-394
  • Konferensbidrag (refereegranskat)abstract
    • The Zero-Defect Manufacturing (ZDM) movement has received increasing interest from practitioners and academics. However, despite the academic development of the field, the adoption of ZDM enablers such as robotic in-line quality inspection applications has not increased as expected. This article explores the state of adoption of robotic in-line quality inspection at five global Swedish manufacturing companies. Results show that contrary to the case companies' beliefs, more people- and process-oriented challenges have been encountered compared with technological ones. Future work will focus on developing system design guidelines for robotic in-line quality inspection systems in the realm of ZDM.
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3.
  • Azamfirei, Victor, et al. (författare)
  • Multi-Layer Quality Inspection System Framework for Industry 4.0
  • 2021
  • Ingår i: International Journal of Automation Technology. - : FUJI TECHNOLOGY PRESS LTD. - 1881-7629 .- 1883-8022. ; 15:5, s. 641-650
  • Tidskriftsartikel (refereegranskat)abstract
    • In the era of market globalisation, the quality of products has become a key factor for success in the manufacturing industry. The growing demand for customised products requires a corresponding adjustment of processes, leading to frequent and necessary changes in production control. Quality inspection has been historically used by the manufacturing industry to detect defects before customer delivery of the end product. However, traditional quality methods, such as quality inspection, suffer from large limitations in highly customised small batch production. Frameworks for quality inspection have been proposed in the current literature. Nevertheless, full exploitation of the Industry 4.0 context for quality inspection purpose remains an open field. Vice-versa, for quality inspection to be suitable for Industry 4.0, it needs to become fast, accurate, reliable, flexible, and holistic. This paper addresses these challenges by developing a multi-layer quality inspection framework built on previous research on quality inspection in the realm of Industry 4.0. In the proposed framework, the quality inspection system consists of (a) the work piece to be inspected, (b) the measurement instrument, (c) the actuator that manipulates the measurement instrument and possibly the work-piece, (d) an intelligent control system, and (e) a cloud-connected database to the previous resources; that interact with each other in five different layers, i.e., resources, actions, and data in both the cyber and physical world. The framework is built on the assumption that data (used and collected) need to be validated, holistic and on-line, i.e., when needed, for the system to effectively decide upon conformity to surpass the presented challenges. Future research will focus on implementing and validating the proposed framework in an industrial case study.
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4.
  • Azamfirei, Victor, 1994- (författare)
  • Robotic in-line quality inspection system for Zero-Defect Manufacturing : Requirements and Challenges
  • 2023
  • Doktorsavhandling (övrigt vetenskapligt/konstnärligt)abstract
    • The modern manufacturing paradigm is characterised by an increased level of competition, growing demand for customisable or one-of-a-kind products, and stricter sustainability requirements. To maintain their competitiveness, manufacturing companies must adapt their processes frequently and efficiently while providing high-quality products. Given the importance of establishing flexible and reconfigurable systems, different advanced manufacturing technologies, such as industrial robotics, have seen a drastic increase in usage. However, no system is perfect or free from uncertainties (defects). To achieve Zero-Defect Manufacturing (ZDM, i.e., no defective products leave the manufacturing system, four strategies ‘detect’, ‘predict’, ‘prevent’, and ‘repair’ are needed. However, traditional quality methods, such as quality inspection (detect), suffer from significant limitations in highly customised small batch production.The objective of this thesis is to facilitate the design of robotic in-line quality inspection systems for ZDM. To achieve the objective, this thesis follows a mixed methods research approach, and its foundation is based on two extensive systematic literature reviews and four case studies in close collaboration with manufacturing companies to investigate how robotic in-line quality inspection is perceived and used. This thesis contributes to the research area of quality management.Through its findings, this research revealed the unexplicit and partial usage of the ZDM principles in research studies. Thus, this thesis characterises robotic in-line quality inspection, identifies its challenges, and pinpoints its enablers. Robotic in-line quality inspection systems are characterised as ‘connected’, ‘fast’, ‘accurate’, ‘reliable’, ‘holistic’, ‘flexible’, and ‘intelligent’. Several challenges to performing robotic in-line quality inspection have been encountered during this research. As part of the control system, as well as the manufacturing system, performance is highly dependent on its integration with ‘people’, ‘processes’, and ‘technologies’. For example, people need certain competences, time, communication, and participation in the development of ZDM; processes such as ZDM standards are lacking; and available technologies need to be balanced between equipment footprint, interoperability, measurement speed and accuracy, and reliability. Finally, to align all physical, digital, or cognitive components and characteristics, two frameworks and a design flowchart are proposed to help practitioners establish ZDM.
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5.
  • Azamfirei, Victor, et al. (författare)
  • Towards fixtureless robotic in-line measurement assisted assembly, a case study
  • 2021
  • Ingår i: 2021 IEEE International Workshop on Metrology for Industry 4.0 and IoT, MetroInd 4.0 and IoT 2021 - Proceedings. - : Institute of Electrical and Electronics Engineers Inc.. - 9781665419802 ; , s. 636-641
  • Konferensbidrag (refereegranskat)abstract
    • In the realm of Industry 4.0, measurement systems play an important role in adapting industrial robots to dynamic environments. Real-time control techniques such as Measurement Assisted Assembly (MAA) can exploit the digital measurements for operation process corrections. Likewise, the propagation of defects can be avoided with in-line measurement conditions. The purpose of this paper is to first understand the capability of robotic in-line measurement assisted assembly in the industrial case of peg-in-hole assembly and second, record the encountered challenges and their enablers. A proof of concept - formed by two 6DoF industrial robots, an in-line Linear Laser (LL), and an on-machine force sensor - have been designed and tested in a lab environment. The experimental results show that robotic in-line measurement assisted assembly can be performed within the tight tolerances of (i) 0, 071 ° to 0, 154° angular deviation between X and Y axes, (ii) applying minimum (near 0) Newton forces in X and Y axes when performing the peg-in-hole robotic assembly of two parts with only 50μm clearance, and (iii) within the company's cycle time. Further, for the effectiveness and practicality of robotic measurement assisted assembly systems, we recorded the encountered challenges and key enablers. 
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6.
  • Azamfirei, Victor, et al. (författare)
  • Towards Zero-Defect Manufacturing : a review on measurement-assisted processes and their technologies
  • 2024
  • Ingår i: Procedia Computer Science. - : Elsevier B.V.. ; , s. 1001-1010
  • Konferensbidrag (refereegranskat)abstract
    • No system is perfect or free of errors. For companies to reach zero defects in a highly volatile and uncertain environment, emerging technologies, as well as human involvement, are needed. The tenant is to measurement-assist the manufacturing system to predict and prevent deviations in dynamic conditions. This article reviews the Measurement-assisted manufacturing (MAM) literature with the aim to (i) reveal key technologies and processes for MAM, (ii) identify current practices and their weaknesses, and (iii) propose future directions. Results show that despite MAM and Zero-Defect Manufacturing (ZDM) being treated separately, they are deeply interrelated and combining both strategies can lead to true sustainability. The literature indicated that future work must be placed in 'hardware' as instrument operation and equipment maintenance, and 'software', as data analytics and geometry assurance strategies.
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7.
  • Granlund, Victor (författare)
  • Om husfliten i forntiden
  • 1871
  • Ingår i: Svenska fornminnesföreningens tidskrift. - 0283-2496. ; 1:2, s. 137-153
  • Tidskriftsartikel (övrigt vetenskapligt/konstnärligt)
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8.
  • Granlund, Victor (författare)
  • Svenska folket i sina ordspråk
  • 1870
  • Ingår i: Svenska fornminnesföreningens tidskrift. - 0283-2496. ; 1:1, s. 27-45
  • Tidskriftsartikel (övrigt vetenskapligt/konstnärligt)
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  • Resultat 1-8 av 8

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