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Final Year Project 2020/2021


                Finite Element Method and Artificial


                Neural Network In The Optimization


                of Motorbike Seat Lock







                Student’s Name: Nur Fatin Liyana Binti Rosli
                Supervisor’s Name: Ahmad Razlee bin Ab Kadir

                Supervisor’s Email: ahmad_razlee@unikl.edu.my


                Abstract The project was titled “Finite Element Method and Artificial Neural network In the
                Optimization of Motorbike Seat Lock.” A study was conducted to find a way out the problem
                of  seat  lock  components  faced  by  the  factory.  During  the  research,  material  selection  is
                significant to produce a product to get the best quality. This study's focus began to simulate the
                static  analysis  and  determine  the  stress  and  strain  results.  The  next  step  is  designing  the
                component and using the Finite Element Analysis (FEA) simulation. In addition, computer
                simulation technology has dramatically enhanced safety, reliability, comfort, and efficiency.
                Significant achievements have been realized with sophisticated computer software and controls
                that  have  been  provided  for  decades.  This  project  also  uses  the  Taguchi  Method  for
                optimization and



                the Artificial Neural Network method to get validation results


                Keywords motorbike seat lock, stress, strain, SolidWorks, Finite Element Analysis (FEA),
                Artificial Neural  Network (ANN), MATLAB





























                             Bachelor of Engineering Technology (Hons) in Mechanical (Automotive)      21
                             Bachelor of Engineering Technology (Hons) in Mechatronics (Automotive)
                                Bachelor of Engineering Technology (Hons) in Mechanical Design
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