Mehdi Tarkian
Linköping University
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Publication
Featured researches published by Mehdi Tarkian.
Advanced Engineering Informatics | 2012
Kristian Amadori; Mehdi Tarkian; Johan Ölvander; Petter Krus
This paper explores novel methodologies for enabling Multidisciplinary Design Optimization (MDO) of complex engineering products. To realize MDO, Knowledge Based Engineering (KBE) is adopted with the aim of achieving design reuse and automation. The aim of the ongoing research at Linkoping University is to shift from manual modeling of disposable geometries to Computer Aided Design (CAD) automation by introducing generic high level geometry templates. Instead of repeatedly modeling similar instances of objects, engineers should be able to create more general models that can represent entire classes of objects. The proposed methodology enables utilization of commercial design tools, hence taking industrial feasibility into consideration. The concept of High Level CAD templates (HLCt) will be proposed and discussed as the building blocks of flexible and robust CAD models, which in turn enables high fidelity geometry in the MDO loop. Furthermore, quantification of the terms flexibility and robustness are presented, providing a means to measure the quality of the geometry models. Finally, application examples are presented in which the outlined framework is evaluated. The applications have been chosen from three ongoing research projects aimed at automating the design of transport aircraft, industrial robots, and micro air vehicles.
ASME 2009 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference, IDETC/CIE2009; San Diego, CA; United States | 2009
Mehdi Tarkian; Johan Ölvander; Xiaolong Feng; Marcus Petterson
This paper presents a novel approach for designing modular robots. There are two main components in this approach namely the modeling methodology of the robot and a framework for simulation of the models and execution of an optimization process. To illustrate the presented methodology an integrated analysis tool for an industrial robot is developed combining dynamic and geometric models in a parametric design approach. An optimization case is conducted to visualize the automation capabilities of the proposed framework, and enhance the design for modular industrial robots.Copyright
Journal of Mechanical Design | 2012
Mehdi Tarkian; Johan A. Persson; Johan Ölvander; Xiaolong Feng
This paper presents a multidisciplinary design optimization (MDO) framework for automated design of a modular industrial robot. The developed design framework seamlessly integrates High Level CAD t ...
design automation conference | 2011
Mehdi Tarkian; Johan A. Persson; Johan Ölvander; Xiaolong Feng
This paper presents a multidisciplinary design optimization framework for modular industrial robots. An automated design framework, containing physics based high fidelity models for dynamic simulat ...
Concurrent Engineering | 2015
Edris Safavi; Mehdi Tarkian; Hampus Gavel; Johan Ölvander
In a product development process, it is crucial to understand and evaluate multiple and synergic aspects of systems such as performance, cost, reliability, and safety. These aspects are mainly considered during later stages of the design process. However, in order to improve the foundations for decision-making, this article presents methods that are intended to increase the engineering knowledge in the early design phases. In complex products, different systems from a multitude of engineering disciplines have to work tightly together. Collaborative design is described as a process where a product is designed through the collective and joint efforts of domain experts. A collaborative multidisciplinary design optimization process is therefore proposed in the conceptual design phase in order to increase the likelihood of more accurate decisions being taken early on. The performance of the presented framework is demonstrated in an industrial application to design aircraft systems in the conceptual phase.
ASME 2008 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference | 2008
Mehdi Tarkian; Björn Lundén; Johan Ölvander
This paper presents an approach of integration between multiple analysis tools that covers several engineering disciplines, used for robot design and optimization. There are three main components in this approach namely a highly flexible geometric model, a parametric dynamic simulation model, and a framework for integration of the models and execution of an optimization process through a user friendly interface. To illustrate the presented methodology an integrated analysis tool for an industrial robot is developed combining dynamic and geometric models in a parametric design approach. An optimization case is conducted to visualize the automation capabilities of the proposed framework, and enhance the early design phases for industrial robots.Copyright
49th AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics, and Materials Conference, 16th AIAA/ASME/AHS Adaptive Structures Conferenc, Schaumburg, Illinois, USA, 7-10 April 2008 | 2008
Mehdi Tarkian; Johan Ölvander; Patrick Berry
The ever fast growing information technology is enabling the re-definition of early stages of aircraft design which have been restricted mostly by statistical and empirical approaches because of lengthy and costly simulation times. This paper will describe a methodology based on parametric and generic CAD modeling methods which will save time when performing repetitive tasks automatically. Furthermore, it enables greater comprehension by giving a holistic view of the aircraft systems because of the proposed multidisciplinary and modular framework. The framework involves a centralized easy to use interface which is coupled to a series of analyses tools. The proposed methods have been applied in student projects of the course “Aircraft Conceptual Design” from Linkoping University where it has shown great promises.
Robotics and Autonomous Systems | 2017
Mohammadali Honarpardaz; Mehdi Tarkian; Johan Ölvander; Xiaolong Feng
Designing robust end-effector plays a crucial role, in performance of a robot workcell. Design automation of industrial grippers fingers/jaws is therefore of the highest interest in the robot indus ...
design automation conference | 2010
Xiaolong Feng; Daniel Wäppling; Hans Andersson; Johan Ölvander; Mehdi Tarkian
It has become a common practice to conduct simulation-based design of industrial robotic cells, where Mechatronic system model of an industrial robot is used to accurately predict robot performance ...
ASME International Design Engineering Technical Conferences and Computers and Information in Engineering Conference (IDETC/CIE) | 2016
Mohammadali Honarpardaz; Mehdi Tarkian; Xiaolong Feng; Daniel Sirkett; Johan Ölvander
Finger design automation for grippers is one of the areas of highest interest for robot industries. The few studies that have been carried out in the finger design automation research area are limi ...