Abstract
In today’s world industrial robot are widely used in various manufacturing operations. But the main drawback of these robots is the excessive use of material to make them structurally rigid, which in turn increases their weight and space occupied by them. This research explores the optimum way to reduce weight and make them structurally rigid by using the generative design method. For the above mentioned purpose industrial robot ABB IRB 6660 is selected and a component (robotic arm) of the robot which has significant weight contribution is selected and the load cases such as force, moment are calculated by performing a thorough study. The forces and moment are validated by performing stress stimulation of robot arm in ANSYS. To perform the optimization of robot arm through generative design, Autodesk Fusion 360 is used, which has inherent functions of working on the generative design on the cloud. In fusion 360, the load cases validated above, preserve geometries, obstacle geometries, constraints, materials and manufacturing methods are defined by the user based on the calculation and literature survey. Multiple designs are generated by the software’s algorithm based on the user defined inputs mentioned above. The various generative design outcomes are studies based on comparing various factors such as material, mass, maximum Von Mises stress, maximum displacement and factor of safety. The best generative design outcome is selected by considering the above factors with weight reduction and structural rigidity as primary goal.
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Gowtham, V.K., Sidharth, B.S., Schilberg, D., Doss, A.S.A. (2023). Optimization of a Robotic Arm Using Generative Design. In: Rajkumar, K., Jayamani, E., Ramkumar, P. (eds) Recent Advances in Materials Technologies. Lecture Notes in Mechanical Engineering. Springer, Singapore. https://doi.org/10.1007/978-981-19-3895-5_28
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