Siamak Farhad

Prof. Dr. Siamak Farhad

University of Akron, Akron, Ohio, USA

Research Focus & Metrics

Academic Career Length

22Years (2005-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 October 2017 in Applied Thermal Engineering
Verified
Journal Article
Closed access
Ashkan NazariAshkan Nazari
Ashkan Nazari
Siamak FarhadSiamak Farhad
Siamak Farhad

27 March 2019 in International Journal of Energy Research
Verified
Journal Article
Closed access
PDF file
MHMünür Sacit Herdem
Münür Sacit Herdem
MSMaryam Younessi Sinaki
Maryam Younessi Sinaki
Siamak FarhadSiamak Farhad
Siamak Farhad
FHFeridun Hamdullahpur
Feridun Hamdullahpur

1 April 2010 in International Journal of Hydrogen Energy
Verified
Journal Article
Closed access
Siamak FarhadSiamak Farhad
Siamak Farhad
FHFeridun Hamdullahpur
Feridun Hamdullahpur
YYYeong Yoo
Yeong Yoo

1 September 2018 in Analytical Biochemistry
Verified
Journal Article
Closed access
HIHoda Ilkhani
Hoda Ilkhani
Siamak FarhadSiamak Farhad
Siamak Farhad

1 September 2019 in Applied Thermal Engineering
Verified
Journal Article
Closed access
AMAbdul Haq Mohammed
Abdul Haq Mohammed
RERoja Esmaeeli
Roja Esmaeeli
HAHaniph Aliniagerdroudbari
Haniph Aliniagerdroudbari
MAMuapper Alhadri
Muapper Alhadri
SHSeyed Reza Hashemi
Seyed Reza Hashemi
Siamak FarhadSiamak Farhad
Siamak Farhad

2 July 2022 in Energies
Verified
Journal Article
Open access
PDF file
IKIan Kay
Ian Kay
Siamak FarhadSiamak Farhad
Siamak Farhad
AMAjay Mahajan
Ajay Mahajan
RERoja Esmaeeli
Roja Esmaeeli
SHSayed Reza Hashemi
Sayed Reza Hashemi
Manual disassembly of the lithium-ion battery (LIB) modules of electric vehicles (EVs) for recycling is time-consuming, expensive, and dangerous for technicians or workers. Dangers associated with high voltage and thermal runaway make a robotic system suitable for the automated or semi-automated disassembly of EV batteries. In this paper, we explore battery disassembly using industrial robots. To understand the disassembly process, human workers were monitored, and the operations were analyzed and broken down into gripping and cutting operations. These operations were selected for automation, and path planning was performed offline. For the gripper, a linear quadratic regulator (LQR) control system was implemented. A system identification method was also implemented in the form of a batch least squares estimator to form the state space representation of the planar linkages used in the control strategy of the gripper. A high-speed rotary cut-off wheel was adapted for the robot to perform precise cutting at various points in the battery module case. The simulation results were used to program an industrial robot for experimental validation. The precision of the rotary cutter allowed for a more direct disassembly method as opposed to the standard manual method. It was shown that the robot was almost twice as fast in cutting but slower in pick and place operations. It has been shown that the best option for disassembly of a LIB pack is a human–robot collaboration, where the robot could make efficient cuts on the battery pack and the technician could quickly sort the battery components and remove connectors or fasteners with which the robot would struggle. This collaboration also reduces the danger encountered by the technician because the risk of shorting battery cells while cutting would be eliminated, but the time efficiency would be significantly improved. This paper demonstrates that a robot offers both safety and time improvements to the current manual disassembly process for EV LIBs.