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Publications (10 of 108) Show all publications
Liu, T., Feng, L., Hellgren, M. & Wikander, J. (2018). Increasing Fuel Efficiency of a Hybrid Electric Competition Car by a Binary Equivalent Consumption Minimization Strategy. In: 2018 IEEE 14th International Conference on Automation Science and Engineering (CASE): . Paper presented at 2018 IEEE 14th International Conference on Automation Science and Engineering (CASE). IEEE
Open this publication in new window or tab >>Increasing Fuel Efficiency of a Hybrid Electric Competition Car by a Binary Equivalent Consumption Minimization Strategy
2018 (English)In: 2018 IEEE 14th International Conference on Automation Science and Engineering (CASE), IEEE, 2018Conference paper, Published paper (Refereed)
Abstract [en]

To improve the fuel efficiency of a hybrid electric car with special powertrain features racing in Shell Eco-marathon, a computationally efficient online control system is developed by solving hierarchical optimal control problems. The top-level computes the optimal velocity trajectory based on the given competition track in advance. The lower-level then finds the best instantaneous engine state and torque allocation by the equivalent consumption minimization strategy (ECMS). The special design of the competition car reduces the ECMS into a binary optimization problem. The new controller can run in real-time on low-cost microprocessors and improves the car's fuel efficiency by 50% while maintaining the state of charge of the electrical energy buffer.

Place, publisher, year, edition, pages
IEEE, 2018
National Category
Vehicle Engineering
Research subject
Machine Design
Identifiers
urn:nbn:se:kth:diva-240618 (URN)10.1109/COASE.2018.8560378 (DOI)2-s2.0-85059975846 (Scopus ID)
Conference
2018 IEEE 14th International Conference on Automation Science and Engineering (CASE)
Funder
XPRES - Initiative for excellence in production research
Note

QC 20190109

Available from: 2018-12-20 Created: 2018-12-20 Last updated: 2019-03-20Bibliographically approved
Hasan, B. & Wikander, J. (2017). A review On Utilizing Ontological Approaches in Integrating Assembly Design and Assembly Process Planning. International Journal of Mechanical Engineering ( SSRG-IJME), 4(11), 5-16
Open this publication in new window or tab >>A review On Utilizing Ontological Approaches in Integrating Assembly Design and Assembly Process Planning
2017 (English)In: International Journal of Mechanical Engineering ( SSRG-IJME), ISSN 2348-8360, Vol. 4, no 11, p. 5-16Article in journal (Refereed) Published
Keywords
APP, Assembly design, Product design, Ontology, Manufacturing.
National Category
Engineering and Technology
Research subject
Production Engineering; Production Engineering; Machine Design
Identifiers
urn:nbn:se:kth:diva-221100 (URN)10.14445/23488360/IJME-V4I11P102 (DOI)
Note

QC 20180115

Available from: 2018-01-14 Created: 2018-01-14 Last updated: 2018-06-19Bibliographically approved
Mahmood Reza, K., Wikander, J., Bergseth, E., Maffei, A. & Onori, M. (2017). Assembly Feature Data Instance Modeling: Prototype Implementation and Outputs. In: 2017 INTERNATIONAL CONFERENCE ON MECHANICAL, SYSTEM AND CONTROL ENGINEERING (ICMSC): . Paper presented at International Conference on Mechanical, System and Control Engineering (ICMSC), MAY 19-21, 2017, St Petersburg, RUSSIA (pp. 343-347). IEEE
Open this publication in new window or tab >>Assembly Feature Data Instance Modeling: Prototype Implementation and Outputs
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2017 (English)In: 2017 INTERNATIONAL CONFERENCE ON MECHANICAL, SYSTEM AND CONTROL ENGINEERING (ICMSC), IEEE , 2017, p. 343-347Conference paper (Refereed)
Abstract [en]

This paper introduces the assembly feature data schema instance modeling to pre-examine the schema functionality and output- as the preliminary step for data modeling. In order to link assembly with product design, it is essential to determine which entities of product design are involved at the automated assembly planning and operations. It is possible to assign meaningful attributes (assembly features) to the part model entities in a systematic and structured way. Using object-oriented design, the assembly feature data structure and its relationships are modeled. As a part of the research on product and assembly system data integration within the evolvable production system platform, the instance models for proposed assembly feature data structure provide a deeper understanding and error reduction that might possibly occur at the development of the database. Moreover through instance modeling, the assembly feature data query output format from the database prototype is simulated. An industrial assembly model example with its 3DPart models is chosen to demonstrate the realized assembly feature data set with string data type. The models support the desired simplicity at the database prototype implementation. The output format envisions the interoperability factor between product models and the assembly planning systems.

Place, publisher, year, edition, pages
IEEE, 2017
Keywords
assembly automation, assembly modeling, assembly feature, instance modeling, unified modeling language
National Category
Mechanical Engineering
Identifiers
urn:nbn:se:kth:diva-211425 (URN)000405221400068 ()2-s2.0-85025826079 (Scopus ID)978-1-5090-6530-1 (ISBN)
Conference
International Conference on Mechanical, System and Control Engineering (ICMSC), MAY 19-21, 2017, St Petersburg, RUSSIA
Note

QC 20170802

Available from: 2017-08-02 Created: 2017-08-02 Last updated: 2017-11-10Bibliographically approved
Rahimi, F., Feng, L., Wikander, J. & Frede, D. (2017). Early phase design-optimization of mechatronic systems. In: ICCMA 2017 Proceedings of the 2017 The 5th International Conference on Control, Mechatronics and Automation: . Paper presented at 5th International Conference on Control, Mechatronics and Automation, ICCMA 2017, University of AlbertaEdmonton, Canada, 11 October 2017 through 13 October 2017 (pp. 42-49). Association for Computing Machinery (ACM)
Open this publication in new window or tab >>Early phase design-optimization of mechatronic systems
2017 (English)In: ICCMA 2017 Proceedings of the 2017 The 5th International Conference on Control, Mechatronics and Automation, Association for Computing Machinery (ACM), 2017, p. 42-49Conference paper, Published paper (Refereed)
Abstract [en]

Methodologies on design optimization of mechatronic systems are usually based on consecutive methods, i.e., the procedure of physical design, control and optimization of a system is performed step by step to achieve the final goal. This paper is built upon previous works on developing a toolbox to integrate several engineering backgrounds in early design phase to avoid time and cost consuming iterations in later deign steps. The previous methodology was mainly applicable for linear one-degree of freedom systems without time-variant dynamics. In this paper, the method is upgraded towards covering concepts on nonlinear systems where extra degrees of freedom are added to the system. Additionally, the library of the mentioned toolbox is extended to include ball-screw drive and rotational rigid beam components in terms of physical design, dynamic and static models to examine the feasibility of the design. A conceptual nonlinear multi-degree design case is presented and linearized at specified operational points in the supported software framework and the implemented models are verified in both SimMechanics and Simulink.

Place, publisher, year, edition, pages
Association for Computing Machinery (ACM), 2017
Series
ACM International Conference Proceeding Series
Keywords
Design Optimization, IDIOM Framework, MIMO Systems, Nonlinear dynamics
National Category
Control Engineering
Identifiers
urn:nbn:se:kth:diva-224391 (URN)10.1145/3149827.3149838 (DOI)2-s2.0-85041913500 (Scopus ID)9781450353397 (ISBN)
Conference
5th International Conference on Control, Mechatronics and Automation, ICCMA 2017, University of AlbertaEdmonton, Canada, 11 October 2017 through 13 October 2017
Note

QC 20180319

Available from: 2018-03-19 Created: 2018-03-19 Last updated: 2018-03-19Bibliographically approved
Hasan, B. & Wikander, J. (2017). Features Extraction from CAD as a Basis for Assembly Process Planning. In: CamarinhaMatos, LM ParreiraRocha, M Ramezani, J (Ed.), TECHNOLOGICAL INNOVATION FOR SMART SYSTEMS: . Paper presented at 8th IFIP WG 5.5/SOCOLNET Advanced Doctoral Conference on Computing, Electrical and Industrial Systems, DoCEIS 2017, MAY 03-05, 2017, Costa de Caparica, PORTUGAL (pp. 144-153). SPRINGER-VERLAG BERLIN
Open this publication in new window or tab >>Features Extraction from CAD as a Basis for Assembly Process Planning
2017 (English)In: TECHNOLOGICAL INNOVATION FOR SMART SYSTEMS / [ed] CamarinhaMatos, LM ParreiraRocha, M Ramezani, J, SPRINGER-VERLAG BERLIN , 2017, p. 144-153Conference paper, Published paper (Refereed)
Abstract [en]

This paper describes a novel approach to recognize product features, which are significant for Assembly Process Planning (APP). The work presented in this paper is a part of a larger effort to develop methods and tools for a more automated and bidirectional link between product CAD and the different processes and resources applied in APP. APP is the phase, in which the required assembly processes and resources are determined in order to convert a product to fully assembled or semi-assembled product. Product features will be extracted from the SolidWorks (SW) CAD file using SW- Application Programming Interface (API). SW-API is an interface that allows the exchange of data between CAD design and different software applications. The work includes automatic recognition for assembly knowledge, geometry and non-geometry knowledge (dimensions, geometrical tolerances, and kinematic constraints) in assembly design, which are relevant for assembly process and resources. Recognition algorithms have been developed by using visual basic. Net (VB.net). A case-study example is included for illustration of the proposed approach.

Place, publisher, year, edition, pages
SPRINGER-VERLAG BERLIN, 2017
Series
IFIP Advances in Information and Communication Technology, ISSN 1868-4238 ; 499
Keywords
Features, Form features, Assembly Process Planning, CAD, SolidWorks, API
National Category
Mechanical Engineering
Identifiers
urn:nbn:se:kth:diva-211429 (URN)10.1007/978-3-319-56077-9_13 (DOI)000405249800013 ()2-s2.0-85018184400 (Scopus ID)978-3-319-56076-2 (ISBN)
Conference
8th IFIP WG 5.5/SOCOLNET Advanced Doctoral Conference on Computing, Electrical and Industrial Systems, DoCEIS 2017, MAY 03-05, 2017, Costa de Caparica, PORTUGAL
Note

QC 20170801

Available from: 2017-08-01 Created: 2017-08-01 Last updated: 2018-01-15Bibliographically approved
Khodabakhshian, M., Feng, L., Börjesson, S., Lindgärde, O. & Wikander, J. (2017). Reducing Auxiliary Energy Consumption of Heavy Trucks by Onboard Prediction and Real-time Optimization. Applied Energy, 188, 652-671
Open this publication in new window or tab >>Reducing Auxiliary Energy Consumption of Heavy Trucks by Onboard Prediction and Real-time Optimization
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2017 (English)In: Applied Energy, ISSN 0306-2619, E-ISSN 1872-9118, Vol. 188, p. 652-671Article in journal (Refereed) Published
Abstract [en]

The electric engine cooling system, where the coolant pump and the radiator fan are driven by electric motors, admits advanced control methods to decrease auxiliary energy consumption. Recent publications show the fuel saving potential of optimal control strategies for the electric cooling system through offline simulations. These strategies often assume full knowledge of the drive cycle and compute the optimal control sequence by expensive global optimization methods. In reality, the full drive cycle is unknown during driving and global optimization not directly applicable on resource-constrained truck electronic control units. This paper reports state-of-the-art engineering achievements of exploiting vehicular onboard prediction for a limited time horizon and minimizing the auxiliary energy consumption of the electric cooling system through real-time optimization. The prediction and optimization are integrated into a model predictive controller (MPC), which is implemented on a dSPACE MicroAutoBox and tested on a truck on a public road. Systematic simulations show that the new method reduces fuel consumption of a 40-tonne truck by 0.36% and a 60-tonne truck by 0.69% in a real drive cycle compared to a base-line controller. The reductions on auxiliary fuel consumption for the 40-tonne and 60-tonne trucks are about 26% and 38%, respectively. Truck experiments validate the consistency between simulations and experiments and confirm the real-time feasibility of the MPC controller. © 2016 Elsevier Ltd

Place, publisher, year, edition, pages
Elsevier, 2017
Keywords
Engine cooling system; Model predictive control (MPC); Parasitic load reduction; Quadratic programming (QP)
National Category
Mechanical Engineering
Identifiers
urn:nbn:se:kth:diva-181077 (URN)10.1016/j.apenergy.2016.11.118 (DOI)000393003100053 ()2-s2.0-85007038221 (Scopus ID)
Projects
CONVENIENT
Funder
EU, FP7, Seventh Framework Programme, 312314
Note

QC 20170111

Available from: 2016-01-28 Created: 2016-01-28 Last updated: 2017-05-22Bibliographically approved
Gu, Y., Ingvast, J. & Wikander, J. (2017). Toward a New Force Sensor for Twisted String Actuator: A Study about the Force on Separator. In: Bicchi, A Okamura, A (Ed.), 2017 IEEE/RSJ INTERNATIONAL CONFERENCE ON INTELLIGENT ROBOTS AND SYSTEMS (IROS): . Paper presented at IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), SEP 24-28, 2017, Vancouver, CANADA (pp. 1207-1212). IEEE
Open this publication in new window or tab >>Toward a New Force Sensor for Twisted String Actuator: A Study about the Force on Separator
2017 (English)In: 2017 IEEE/RSJ INTERNATIONAL CONFERENCE ON INTELLIGENT ROBOTS AND SYSTEMS (IROS) / [ed] Bicchi, A Okamura, A, IEEE , 2017, p. 1207-1212Conference paper, Published paper (Refereed)
Abstract [en]

The twisted string actuator (TSA) shows promise as a good substitution for biological muscle in robotics. In this paper, a new force sensing mechanism is suggested utilizing the separator which exists in some kind of TSAs. We have identified a relation between the force acting on the separator and the load on the actuator and propose a mathematical model based on this original phenomenon. We also propose an estimation method of the load acting on the TSA using the mathematical model. This relationship has been verified in experiment. A contribution of this research is that the actuation load can be estimated by use of internal structure in TSA which in some circumstances can result in a simpler system compared to direct measurement of load in line.

Place, publisher, year, edition, pages
IEEE, 2017
Series
IEEE International Conference on Intelligent Robots and Systems, ISSN 2153-0858
National Category
Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
urn:nbn:se:kth:diva-225799 (URN)000426978201083 ()978-1-5386-2682-5 (ISBN)
Conference
IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), SEP 24-28, 2017, Vancouver, CANADA
Note

QC 20180409

Available from: 2018-04-09 Created: 2018-04-09 Last updated: 2018-04-09Bibliographically approved
Hasan, B., Wikander, J. & Onori, M. (2016). Assembly design semantic recognition using solid works-API. International Journal of Mechanical Engineering and Robotics Research, 5(4), 280-287
Open this publication in new window or tab >>Assembly design semantic recognition using solid works-API
2016 (English)In: International Journal of Mechanical Engineering and Robotics Research, ISSN 2278-0149, Vol. 5, no 4, p. 280-287Article in journal (Refereed) Published
Abstract [en]

This paper describes a novel approach to recognize and model assembly semantic knowledge enclosed in product assembly features. The proposed approach is based on two stages: assembly semantic recognition and assembly semantic modelling. In the first stage, the internal boundary representation (B-rep) recognition method is utilized to extract assembly semantic knowledge from assembly CAD models using SolidWorks' API functions. In the second stage, a multi-level semantic assembly model is generated. The proposed assembly semantic model is characterized by separating geometrical semantic data represented by form features (basic geometrical and topological entities such as holes, slots, notches etc.) from assembly features (features significant for assembly processes such as mating, alignment, handling, joining etc.). Another characteristic for of the proposed approach is the ability to generate application-specific features based on the extracted geometrical, dimensional and positional semantic data from the assembly design. The generated application specific features will be used to integrate assembly design knowledge to the required assembly processes and resources in the assembly process planning (APP) in product life-cycle. A case-study example is included for illustration of the proposed approach. The work is part of the research within the Evolvable Production Systems paradigm and aims at linking product features to production equipment modules.

Place, publisher, year, edition, pages
Elsevier, 2016
Keywords
Assembly, Feature, Form, Mating, Recognition, SolidWorks
National Category
Production Engineering, Human Work Science and Ergonomics
Identifiers
urn:nbn:se:kth:diva-202190 (URN)10.18178/ijmerr.5.4.280-287 (DOI)2-s2.0-85006511525 (Scopus ID)
Note

QC 20170226

Available from: 2017-02-27 Created: 2017-02-27 Last updated: 2018-01-15Bibliographically approved
Mahmood Reza, K., Wikander, J., Onori, M., Maffei, A. & Chen, D.-J. (2016). Module-based Quality System Functionality Evaluation in Production Logistics. Journal of Industrial Engineering and Management, 9(2), 310-329
Open this publication in new window or tab >>Module-based Quality System Functionality Evaluation in Production Logistics
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2016 (English)In: Journal of Industrial Engineering and Management, ISSN 2013-8423, E-ISSN 2013-0953, Vol. 9, no 2, p. 310-329Article in journal (Refereed) Published
Abstract [en]

Purpose: This paper addresses a comprehensive modeling and functionality evaluation of amodule-based quality system in production logistics at the highest domain abstract level ofbusiness processes.

Design/methodology/approach: All domain quality business processes and quality datatransactions are modeled using BPMN and UML tools and standards at the business process anddata modeling. A modular web-based prototype is developed to evaluate the models addressingthe quality information system functionality requirements and modularity in production logisticsthrough data scenarios and data queries.

Findings: Using the object-oriented technique in design at the highest domain level, theproposed models are subject further development in the lower levels for the implementing case.The models are specifically able to manipulate all quality operations including remedy and controlin a lot-based make-to-order production logistics system as an individual module.

Practical implications: Due to the specification of system as domain design structure, allproposed BPMs, data models, and the actual database prototype are seen referential if not asolution as a practical “to-be” quality business process re-engineering template. 

Originality/value: this paper sets out to provide an explanatory approach using differentpractical technique at modeling steps as well as the prototype implementation.

Place, publisher, year, edition, pages
OmniaScience, 2016
Keywords
business process, data modelling, production logistics, QIS, UML, BPMN, data query
National Category
Production Engineering, Human Work Science and Ergonomics
Research subject
Industrial Economics and Management
Identifiers
urn:nbn:se:kth:diva-188862 (URN)10.3926/jiem.1509 (DOI)000378499500002 ()2-s2.0-85005977747 (Scopus ID)
Note

QC 20160726

Available from: 2016-06-20 Created: 2016-06-20 Last updated: 2019-08-28Bibliographically approved
Hasan, B. & Wikander, J. (2016). Product Feature Modelling for Integrating Product Design and Assembly Process Planning. International Journal of Mechanical and Mechatronics Engineering, 10(10), 1760-1770
Open this publication in new window or tab >>Product Feature Modelling for Integrating Product Design and Assembly Process Planning
2016 (English)In: International Journal of Mechanical and Mechatronics Engineering, ISSN 1307-6892, Vol. 10, no 10, p. 1760-1770Article in journal (Refereed) Published
Keywords
Assembly feature, assembly process planning, feature, feature-based modelling, form feature, ontology.
National Category
Engineering and Technology
Research subject
Production Engineering
Identifiers
urn:nbn:se:kth:diva-221101 (URN)
Note

QC 20180115

Available from: 2018-01-14 Created: 2018-01-14 Last updated: 2018-06-19Bibliographically approved
Organisations
Identifiers
ORCID iD: ORCID iD iconorcid.org/0000-0002-7550-3134

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