Short Title: Int. J. Mech. Eng. Robot. Res.
Frequency: Bimonthly
Professor of School of Engineering, Design and Built Environment, Western Sydney University, Australia. His research interests cover Industry 4.0, Additive Manufacturing, Advanced Engineering Materials and Structures (Metals and Composites), Multi-scale Modelling of Materials and Structures, Metal Forming and Metal Surface Treatment.
2024-12-18
2024-10-25
Abstract—This paper covers a complete analysis and optimization of a submersible motor pump body and its product. This project contains a defect free submersible motor pump which provides better strength to the motor body. It also covers a family mold for 3 components namely Top cover, Bottom cover and Bottom pad which reduces the cost of molding by 50% as one mould full fills the requirement of 3 molds and minimized defects. This project reduced the fill time of components without any increment in defects. It also designs and analyzed the Bottom pad which is going to resist the loads of motor body in Ansys 13.0 to determine the various stresses, strain and fatigue life of the material. The software has helped us really to achieve our goal regarding calculating the “total deformation and fatigue life of bottom pad”. As the whole analysis was done by the means of software, therefore results and observations were trustworthy and meet with our expectations. Reduced fill time of every component does not affect the properties of the final component. This project has chosen the 3D mesh and surface mesh for the Central body and Top cover, Bottom cover and Bottom pad respectively. These meshes produced better results and also help us to minimize the defects. The family mold thus formed ultimately helps us to reduce the overall cost of the component and hence this project successfully got its goals. Index Terms—NX 7.5, ANSYS 13.0, 3D Mesh, Family mold
Cite: Sudhir Gour, S Rajkumar, and Praveen Deshmukh, "Analysis and Optimization of Submersible Motor Pump Body," International Journal of Mechanical Engineering and Robotics Research, Vol.2, No. 1, pp. 147-152, January 2013.