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Nguyen V. Thanh
Ho Chi Minh City University of Food Industry
Automotive Engineering Control & Systems Engineering Engineering Materials Science & Nanotechnology Mechanical Engineering

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Journal : Jurnal Polimesin

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Application of topology optimization technique in sand casting process of a complex product based on FDM 3D printing technology Nguyen Huu Tho; Nguyen K. Dien; Trinh T. Tho; Nguyen V. Thanh; Nguyen V. A. Duy
Jurnal POLIMESIN Vol 19, No 2 (2021): Agustus
Publisher : Politeknik Negeri Lhokseumawe

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30811/jpl.v19i2.2115

Abstract

Design optimization is one of the emerging CAE technologies thanks to the robust and strong structure of the computer and the ability to create complex designs using material additive technology. Recent modern innovations in 3D printing technology have made metal casting new breakthroughs. The demand of many products with complex shapes and geometries becomes very high. This makes the 3D printing more helpful and meaningful to contribute in the field of product design and development. This study presents an integrated framework for the implementation of complex 3D product design from fundamental technologies of CAD/CAE/AM (Computer Aided Design/Computer Aided Engineering/Additive manufacturing). Then, we apply casting technology to create models for products with complex shapes from FDM 3D printing technology. This integrated process is essential in assisting engineers to quickly design and create prototypes, and to fully control errors occurring during prototyping through CAD/CAE simulation to improve production efficiency of businesses and reduce time to bring products to customers. The experiment of sand casting based on the mold core from AM technology confirmed that the integrated approach is effective and applicable in the practice at manufacturing enterprises.
Study on process parameters effects to burr height in drilling of Aluminium 6061 alloy sheet on CNC milling machine Nguyen Huu Tho; Nguyen V. A. Duy; Dinh Tien Dung; Nguyen M. Huy; Nguyen V. Thanh; Jannifar Jannifar
Jurnal POLIMESIN Vol 20, No 1 (2022): February
Publisher : Politeknik Negeri Lhokseumawe

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30811/jpl.v20i1.2116

Abstract

Productivity and quality of drilling are also of interest, have been paid more attention on the size of burr through the cleaning process. The presence of burr on drilled workpieces creates problems not only in the processing but also in the assembly line, affecting the accuracy of the assembly. Many factors have significant impacts on the burr height such as spindle speed, cutting feed and drill bit diameter. In this paper, the experiment investigation of those process parameters to burr height is implemented, then Taguchi-based approach is used to determine the influence density of each factors. Moreover, artificial neural network model is applied to predict the burr height based on the three input factors. The experiment results showed that the two most important factors affecting the burr are the speed of the spindle and the feed rate. The factors realized to be significant for burr formulation such as an 8 mm drill bit diameter, a CNC spindle speed of 2500 rpm, and feed rate of 70 mm/rev, which will result in the smallest output in terms of the height of the obtained burr is 0.12792 mm.
Co-Authors A. Jannifar Dinh Tien Dung Nguyen Huu Tho Nguyen Huu Tho Nguyen K. Dien Nguyen M. Huy Nguyen V. A. Duy Nguyen V. A. Duy Trinh T. Tho