Open AccessOptimization of Process Parameters of Pin on Disc Wear Set up for 3D Printed Specimens
Author(s) -
Harish Kumar,
Anuj Kumar Sharma,
Yogesh Shrivastava,
Shahroz Akhtar Khan,
Pawan Kumar Arora
Publication year - 2021
Publication title -
maǧallaẗ al-abḥāṯ al-handasiyyaẗ
Language(s) - English
Resource type - Journals
eISSN - 2307-1885
pISSN - 2307-1877
DOI - 10.36909/jer.emsme.13899
Subject(s) - materials science , response surface methodology , layer (electronics) , process (computing) , design of experiments , 3d printing , engineering drawing , mechanical engineering , box–behnken design , computer science , composite material , engineering , mathematics , statistics , machine learning , operating system
3D Printing is av technology that produces three-dimensional parts layer by layer from a material. The method relies on a digital data file being transmitted to a machine that then builds the component. The evolution of 3D printing has seen rapid growth in the manufacturing industry. However, the material properties of the fabricated part are different for different combinations of input parameters. Hence, it is essential to determine the properties of the fabricated specimen. In the present work, specimens of ABS have been fabricated using a 3D printer conform to ASTM G99 standard, by varying the combinations of input parameters. The design of experiments has been done using Box Behnken design. Thereafter, the wear rate of the fabricated specimens has been tested on the wear tester machine (Pin-on-disc). The obtained combination of input and output has been used to generate a mathematical model using response surface methodology (RSM). The model has been optimized and a suitable range of input parameters have been determined, pertaining to the minimum wear rate for given conditions.