Högskolan i Skövde

his.sePublikasjoner
Endre søk
Link to record
Permanent link

Direct link
Givehchi, Mohammad
Alternativa namn
Publikasjoner (10 av 13) Visa alla publikasjoner
Wang, L., Schmidt, B., Givehchi, M. & Adamson, G. (2015). Robotic Assembly Planning and Control with Enhanced Adaptability through Function Blocks. The International Journal of Advanced Manufacturing Technology, 77(1-4), 705-715
Åpne denne publikasjonen i ny fane eller vindu >>Robotic Assembly Planning and Control with Enhanced Adaptability through Function Blocks
2015 (engelsk)Inngår i: The International Journal of Advanced Manufacturing Technology, ISSN 0268-3768, E-ISSN 1433-3015, Vol. 77, nr 1-4, s. 705-715Artikkel i tidsskrift (Fagfellevurdert) Published
Abstract [en]

Manufacturing companies today need to maintain a high level of flexibility and adaptability to deal with uncertainties on dynamic shop floors, including e.g. cutting tool shortage, part supply interruption, urgent job insertion or delay, and machine unavailability. Such uncertainties are characteristic in component assembly operations. Addressing the problem, we propose a new method using function blocks to achieve much improved adaptability in assembly planning and robot control. In this paper, we propose to use event-driven function blocks for robotic assembly, aiming to plan trajectory and execute assembly tasks in real-time. It is envisioned that this approach will achieve better adaptability if applied to real-world applications.

sted, utgiver, år, opplag, sider
Springer London, 2015
Emneord
Adaptability, Robotic assembly, Trajectory planning, Function block
HSV kategori
Forskningsprogram
Teknik; Produktion och automatiseringsteknik
Identifikatorer
urn:nbn:se:his:diva-10466 (URN)10.1007/s00170-014-6468-1 (DOI)000350117300055 ()2-s2.0-84925461308 (Scopus ID)
Merknad

Published online: 22 October 2014

Tilgjengelig fra: 2014-12-19 Laget: 2014-12-19 Sist oppdatert: 2023-01-30bibliografisk kontrollert
Givehchi, M., Schmidt, B. & Wang, L. (2013). Knowledge-based Operation Planning and Machine Control by Function Blocks in Web-DPP. In: Américo Azevedo (Ed.), Advances in Sustainable and Competitive Manufacturing Systems: 23rd International Conference on Flexible Automation & Intelligent Manufacturing. Paper presented at FAIM 2013 - 23rd International Conference on Flexible Automation & Intelligent Manufacturing, Porto, Portugal, 26-28 June, 2013 (pp. 665-679). Springer, 1
Åpne denne publikasjonen i ny fane eller vindu >>Knowledge-based Operation Planning and Machine Control by Function Blocks in Web-DPP
2013 (engelsk)Inngår i: Advances in Sustainable and Competitive Manufacturing Systems: 23rd International Conference on Flexible Automation & Intelligent Manufacturing / [ed] Américo Azevedo, Springer, 2013, Vol. 1, s. 665-679Konferansepaper, Publicerat paper (Fagfellevurdert)
Abstract [en]

Today, the dynamic market requires manufacturing firms to possess high degree of adaptability and flexibility to deal with shop-floor uncertainties. Specifically, targeting SMEs active in the machining and metal cutting sector who normally deal with complex and intensive process planning problems, researchers have tried to address the subject. Among proposed solutions, Web-DPP elaborates a two-layer distributed adaptive process planning system based on function-block technology. Function-block enabled machine controllers are one of the elements of this system. In addition, intensive reasoning based on the features data of the products models, machining knowledge, and resource data is needed to be performed inside the function blocks in machine controller side. This paper reports the current state of design and implementation of a knowledge-based operation planning module using a rule-engine embedded in machining feature function blocks, and also the design and implementation of a common interface (for CNC milling machine controller and its specific implementation for a specific commercial controller) embedded in the machining feature function blocks for controlling the machine. The developed prototype is validated through a case-study.

sted, utgiver, år, opplag, sider
Springer, 2013
Serie
Lecture Notes in Mechanical Engineering, ISSN 2195-4356, E-ISSN 2195-4364 ; Part II
HSV kategori
Forskningsprogram
Teknik
Identifikatorer
urn:nbn:se:his:diva-9092 (URN)10.1007/978-3-319-00557-7_55 (DOI)2-s2.0-84951111588 (Scopus ID)978-3-319-00556-0 (ISBN)978-3-319-00557-7 (ISBN)
Konferanse
FAIM 2013 - 23rd International Conference on Flexible Automation & Intelligent Manufacturing, Porto, Portugal, 26-28 June, 2013
Tilgjengelig fra: 2014-05-20 Laget: 2014-05-20 Sist oppdatert: 2023-04-19bibliografisk kontrollert
Mohammed, A., Givehchi, M. & Wang, L. (2012). Interfacing Image Processing with Robotic Sketching. In: Hasse Nylund, Satu Kantti, Ville Toivonen & Seppo Torvinen (Ed.), Proceedings of the FAIM 2012, 22nd International Conference on Flexible Automation and Intelligent Manufacturing, June 10th-13th, 2012, Helsinki, Finland: . Paper presented at FAIM 2012, 22nd International Conference on Flexible Automation and Intelligent Manufacturing, June 10th-13th, 2012, Helsinki, Finland (pp. 285-294). Tampere: Tampere University of Technology
Åpne denne publikasjonen i ny fane eller vindu >>Interfacing Image Processing with Robotic Sketching
2012 (engelsk)Inngår i: Proceedings of the FAIM 2012, 22nd International Conference on Flexible Automation and Intelligent Manufacturing, June 10th-13th, 2012, Helsinki, Finland / [ed] Hasse Nylund, Satu Kantti, Ville Toivonen & Seppo Torvinen, Tampere: Tampere University of Technology, 2012, s. 285-294Konferansepaper, Publicerat paper (Fagfellevurdert)
Abstract [en]

In attempt to have a flexible manufacturing environment with adaptive control systems, several researchers tend to integrate vision systems into the industrial systems to achieve that objective; the majority of the research works that have been done in this perspective tend to keep this kind of integration fully automated. Along the same direction, this paper presents an approach for integrating Robotic Sketching and Path Planning with Image Processing, and it introduces at the same time the ability for operators to remotely control and monitor the processing stages. It has been accomplished using network based architecture consisting of a vision system together with a server, a client and an ABB industrial robot. The aims of this paper are: (1) to provide an example that illustrates the benefit of interfacing the image processing techniques with the industrial shop floor system, and (2) to develop a web based system that allows an operator to remotely monitor and control the stages of the application using Java based applet. Further analyses have been done for the processing times of the application; this helped us to address the problem that consumed the largest proportion of the processing time. The work that has been done in this research provides additional supervision ability for the integrated system, and it demonstrates some of the challenges and the obstacles that may face this kind of integration.

sted, utgiver, år, opplag, sider
Tampere: Tampere University of Technology, 2012
HSV kategori
Forskningsprogram
Teknik
Identifikatorer
urn:nbn:se:his:diva-6425 (URN)978-952-15-2783-8 (ISBN)
Konferanse
FAIM 2012, 22nd International Conference on Flexible Automation and Intelligent Manufacturing, June 10th-13th, 2012, Helsinki, Finland
Tilgjengelig fra: 2012-10-10 Laget: 2012-10-02 Sist oppdatert: 2019-12-20bibliografisk kontrollert
Wang, L., Givehchi, M., Schmidt, B. & Adamson, G. (2012). Robotic Assembly Planning and Control with Enhanced Adaptability. Paper presented at 45th CIRP Conference on Manufacturing Systems, CMS 2012, Athens, Greece, 16 May 2012 through 18 May 2012. Procedia CIRP, 3, 173-178
Åpne denne publikasjonen i ny fane eller vindu >>Robotic Assembly Planning and Control with Enhanced Adaptability
2012 (engelsk)Inngår i: Procedia CIRP, ISSN 2212-8271, E-ISSN 2212-8271, Vol. 3, s. 173-178Artikkel i tidsskrift (Fagfellevurdert) Published
Abstract [en]

The dynamic market today requires manufacturing companies to possess high degree of adaptability and flexibility in order to deal with shop-floor uncertainties. Such uncertainties as missing tools, part shortage, job delay, rush-order and unavailability of resources, etc. happen more often in assembly operations. Targeting this problem, this research proposes a function block enabled approach to achieving adaptability and flexibility in assembly planning and control. In particular, this paper presents our latest development using a robotic mini assembly cell for testing and validation of a function block enabled system capable of assembly and robot trajectory planning and control. It is expected that a better adaptability can be achieved by this approach.

sted, utgiver, år, opplag, sider
Elsevier, 2012
Emneord
Assembly Planning And Control, Function Blocks, Adaptability
HSV kategori
Forskningsprogram
Teknik
Identifikatorer
urn:nbn:se:his:diva-6851 (URN)10.1016/j.procir.2012.07.031 (DOI)000314630700030 ()2-s2.0-84879193467 (Scopus ID)
Konferanse
45th CIRP Conference on Manufacturing Systems, CMS 2012, Athens, Greece, 16 May 2012 through 18 May 2012
Merknad

CC BY-NC-ND 3.0

Edited by G. Chryssolouris, D. Mourtzis

Tilgjengelig fra: 2012-11-22 Laget: 2012-11-22 Sist oppdatert: 2022-07-15bibliografisk kontrollert
Holm, M., Givehchi, M., Mohammed, A. & Wang, L. (2012). Web based monitoring and control of distant Robotic Operations. In: Proceedings of the ASME 2012 International Manufacturing Science and Engineering Conference MSEC2012 June 4-8, 2012, Notre Dame, Indiana, USA: . Paper presented at ASME 2012 International Manufacturing Science and Engineering Conference, Notre Dame, Indiana, USA, June 4–8, 2012 (pp. 605-612). ASME Press
Åpne denne publikasjonen i ny fane eller vindu >>Web based monitoring and control of distant Robotic Operations
2012 (engelsk)Inngår i: Proceedings of the ASME 2012 International Manufacturing Science and Engineering Conference MSEC2012 June 4-8, 2012, Notre Dame, Indiana, USA, ASME Press, 2012, s. 605-612Konferansepaper, Publicerat paper (Fagfellevurdert)
Abstract [en]

In order to improve the production efficiency while facing today’s manufacturing uncertainty, responsive and adaptive capabilities for rapid production changes are essential. This paper presents how dynamic control and real-time monitoring (embedded in a web-based Wise-ShopFloor framework) can integrate virtual models with real shop floors. Wise-ShopFloor (Web-based integrated sensor-driven e-ShopFloor)uses Java technologies (e.g., Java Servlet and Java3D) for implementing the system. It allows the operators, both remote and on-site, to monitor and control machines, devices and operations on a shop floor, based on run-time information from the connected machines, devices and their sensors. Two case studies are presented to demonstrate the approach towards web-based adaptive manufacturing. The first demonstrating how OPC-technology is used to improve the monitoring and control capabilities of the production and the second one focusing  on remote control of a robot eliminating the need of motion planning and tedious robot programming.

sted, utgiver, år, opplag, sider
ASME Press, 2012
Emneord
Web-based monitoring, remote control, virtual manufacturing, adaptive system, and Java 3D.
HSV kategori
Forskningsprogram
Teknik
Identifikatorer
urn:nbn:se:his:diva-10729 (URN)10.1115/MSEC2012-7296 (DOI)000324347700070 ()2-s2.0-84883079412 (Scopus ID)978-0-7918-5499-0 (ISBN)
Konferanse
ASME 2012 International Manufacturing Science and Engineering Conference, Notre Dame, Indiana, USA, June 4–8, 2012
Prosjekter
Wise-ShopFloor
Forskningsfinansiär
Knowledge Foundation
Tilgjengelig fra: 2015-03-09 Laget: 2015-03-09 Sist oppdatert: 2023-03-28bibliografisk kontrollert
Wang, L., Givehchi, M., Adamson, G. & Holm, M. (2011). A sensor-driven 3D model-based approach to remote real-time monitoring. CIRP annals, 60(1), 493-496
Åpne denne publikasjonen i ny fane eller vindu >>A sensor-driven 3D model-based approach to remote real-time monitoring
2011 (engelsk)Inngår i: CIRP annals, ISSN 0007-8506, E-ISSN 1726-0604, Vol. 60, nr 1, s. 493-496Artikkel i tidsskrift (Fagfellevurdert) Published
Abstract [en]

This paper presents an integrated approach for remote real-time monitoring of manufacturing operations. It is enabled by using virtual 3D models driven by real sensor data. The objectives of this research are twofold: (1) to significantly reduce network traffic for real-time monitoring over the Internet: and (2) to increase the controllability of manufacturing systems from anywhere in a decentralised environment. Particularly, this paper covers the principle of the approach, system architecture, prototype implementation, and a case study of remote control of a robotic assembly cell. Compared with camera-based monitoring systems, our approach only consumes less than 1% of its network bandwidth, feasible and practical as a web-based portable solution. (C) 2011 CIRP.

sted, utgiver, år, opplag, sider
Conference on Assembly Technologies & Systems (CIRP), 2011
Emneord
Monitoring, Assembly, Distributed manufacturing
HSV kategori
Forskningsprogram
Teknik
Identifikatorer
urn:nbn:se:his:diva-5569 (URN)10.1016/j.cirp.2011.03.034 (DOI)000295495000123 ()2-s2.0-79957636118 (Scopus ID)
Tilgjengelig fra: 2012-03-02 Laget: 2012-03-01 Sist oppdatert: 2019-12-20bibliografisk kontrollert
Givehchi, M., Ng, A. & Wang, L. (2011). An Evolutionary Operation Sequence Optimization Tool for Robotic Spot Welding Based on Collision-Free Path Planner in Virtual Manufacturing. In: Proceedings of NAMRI/SME: . Paper presented at 39th North American Manufacturing Research Conference (NAMRC), June 2011, Oregon State University, Corvallis, Oregon. (pp. 88-98). Society of Manufacturing Engineers, North American Manufacturing Research Institution, NAMRI/SME
Åpne denne publikasjonen i ny fane eller vindu >>An Evolutionary Operation Sequence Optimization Tool for Robotic Spot Welding Based on Collision-Free Path Planner in Virtual Manufacturing
2011 (engelsk)Inngår i: Proceedings of NAMRI/SME, Society of Manufacturing Engineers, North American Manufacturing Research Institution, NAMRI/SME , 2011, s. 88-98Konferansepaper, Publicerat paper (Fagfellevurdert)
Abstract [en]

Many problems in the lifecycle of Product and Production Development (PPD) can be formulated as optimization problems. But in most of the real-world cases, they are too complex to be solved by analytical models or classical optimization methods. CAx and Virtual Manufacturing (VM) tools are on the other hand being employed to create virtual representation of products and processes before any physical realization is conducted. Synergy of these two domains is of interest in this paper where planning a process with the minimum cycle-time for assembling a spot welded sheet-metal product is desired. The methodology suggests an extendible virtual manufacturing-based optimization approach using evolutionary algorithms. Accordingly, a novel toolset with integration of evolutionary optimization and a commercial VM environment is developed. More specifically, the latest feature which takes advantage of the collision avoidant segment path planning functionality of the VM tool and integrates it with the sequence optimizer is described.

sted, utgiver, år, opplag, sider
Society of Manufacturing Engineers, North American Manufacturing Research Institution, NAMRI/SME, 2011
Serie
Transactions of the North American Manufacturing Research Institution of SME, ISSN 1047-3025 ; 39
Emneord
Optimization, Operation sequence planning, Collision-free path planning, Virtual manufacturing
HSV kategori
Forskningsprogram
Teknik
Identifikatorer
urn:nbn:se:his:diva-5639 (URN)2-s2.0-80455141698 (Scopus ID)978-0-87263-872-3 (ISBN)
Konferanse
39th North American Manufacturing Research Conference (NAMRC), June 2011, Oregon State University, Corvallis, Oregon.
Tilgjengelig fra: 2012-03-27 Laget: 2012-03-27 Sist oppdatert: 2019-12-20bibliografisk kontrollert
Givehchi, M., Ng, A. & Wang, L. (2011). Evolutionary optimization of robotic assembly operation sequencing with collision-free paths. Journal of manufacturing systems, 30(4), 196-203
Åpne denne publikasjonen i ny fane eller vindu >>Evolutionary optimization of robotic assembly operation sequencing with collision-free paths
2011 (engelsk)Inngår i: Journal of manufacturing systems, ISSN 0278-6125, E-ISSN 1878-6642, Vol. 30, nr 4, s. 196-203Artikkel i tidsskrift (Fagfellevurdert) Published
Abstract [en]

Many problems in the lifecycle of product and production development (PPD) can be formulated as optimization problems. But in most of the real-world cases, they are too complex to be solved by analytical models or classical optimization methods. CAx and virtual manufacturing (VM) tools are on the other hand being employed to create virtual representation of products and processes before any physical realization is conducted. Synergy of these two domains is of interest in this paper where planning a process with the minimum cycle-time for assembling a spot welded sheet-metal product is desired. The methodology suggests an extendible virtual manufacturing-based optimization approach using evolutionary algorithms. Accordingly, a novel toolset with integration of evolutionary optimization and a commercial VM environment is developed. More specifically, the latest feature which takes advantage of the collision avoidant segment path planning functionality of the VM tool and integrates it with the sequence optimizer is described. (C) 2011 The Society of Manufacturing Engineers. Published by Elsevier Ltd. All rights reserved.

sted, utgiver, år, opplag, sider
Elsevier, 2011
Emneord
Optimization, Operation sequence planning, Collision-free path planning, Virtual manufacturing
HSV kategori
Forskningsprogram
Teknik
Identifikatorer
urn:nbn:se:his:diva-5516 (URN)10.1016/j.jmsy.2011.08.003 (DOI)000297185200003 ()2-s2.0-80054715937 (Scopus ID)
Tilgjengelig fra: 2012-03-28 Laget: 2012-03-01 Sist oppdatert: 2019-12-20bibliografisk kontrollert
Givehchi Yazdi, M., Ng, A. H. C. & Wang, L. (2011). Operation Sequence Optimization using an extended Virtual Manufacturing tool. In: Proceedings of the 4th Swedish Production Symposium: . Paper presented at 4th Swedish Production Symposium, SPS 11, 3-5 May 2011, Lund (pp. 383-390). Lund
Åpne denne publikasjonen i ny fane eller vindu >>Operation Sequence Optimization using an extended Virtual Manufacturing tool
2011 (engelsk)Inngår i: Proceedings of the 4th Swedish Production Symposium, Lund, 2011, s. 383-390Konferansepaper, Publicerat paper (Fagfellevurdert)
sted, utgiver, år, opplag, sider
Lund: , 2011
HSV kategori
Identifikatorer
urn:nbn:se:his:diva-7324 (URN)
Konferanse
4th Swedish Production Symposium, SPS 11, 3-5 May 2011, Lund
Tilgjengelig fra: 2013-02-26 Laget: 2013-02-26 Sist oppdatert: 2019-12-20bibliografisk kontrollert
Givehchi, M., Ng, A. H. C. & Wang, L. (2011). Spot-welding sequence planning and optimization using a hybrid rule-based approach and genetic algorithm. Robotics and Computer-Integrated Manufacturing, 27(4), 714-722
Åpne denne publikasjonen i ny fane eller vindu >>Spot-welding sequence planning and optimization using a hybrid rule-based approach and genetic algorithm
2011 (engelsk)Inngår i: Robotics and Computer-Integrated Manufacturing, ISSN 0736-5845, E-ISSN 1879-2537, Vol. 27, nr 4, s. 714-722Artikkel i tidsskrift (Fagfellevurdert) Published
Abstract [en]

Performing assembly planning to find a valid hierarchical assembling structure of a product (i.e. Manufacturing Bill of Materials or MBOM) based on the constraints and necessities inferred from or declared by different sources is potentially complicated. On the other hand, Engineering Changes (EC) may drastically affect the constraints and necessities which the planning of an MBOM was based on. Managing ECs to evaluate and propagate their effects on the upstream data used in assembly planning and downstream activities and information is crucial but problematic. Often it is possible to define a set of rules for the constraints and necessities of assembly planning and find solutions or check validity of solutions based on the rule-set. This paper proposes a rule-based assembly planning method and introduces the concepts and standard notations on how structured rule-sets can be derived from descriptive rules and then used in an algorithm for generating or validating MBOMs. The method was partially automated and successfully employed along with a commercial Virtual Manufacturing package integrated with an in-house developed GA-based sequence optimizer and applied to the sequence optimization in minimizing the cycle time of the robotic spot welding operations for a sheet-metal assembly found in automotive industry. (C) 2011 Elsevier Ltd. All rights reserved.

sted, utgiver, år, opplag, sider
Elsevier, 2011
Emneord
Spot-welding, Sequence planning, Optimization, Robotics, GA, Rule-based approach
HSV kategori
Forskningsprogram
Teknik
Identifikatorer
urn:nbn:se:his:diva-5532 (URN)10.1016/j.rcim.2010.12.008 (DOI)000291458900008 ()2-s2.0-79955665038 (Scopus ID)
Tilgjengelig fra: 2012-03-19 Laget: 2012-03-01 Sist oppdatert: 2019-12-20bibliografisk kontrollert
Organisasjoner