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Development of Intelligent Algorithm to Predict surface Location Error in Micromilling of Thin-walled Ti6Al4V for Low Cost Biofabrication

Implementing Organization

Birla Institute of Technology
Principal Investigator
Dr. Kundan Kumar singh
Birla Institute of Technology
CO-Principal Investigator
Dr. Arshad Javed
Birla Institute of Technology
CO-Principal Investigator
Dr. sureshkumar Reddy Narala
Birla Institute of Technology

Project Overview

India, a developing country, faces numerous healthcare issues, including the lack of affordable healthcare facilities. Biomedical components, such as implants and bone repair materials, can be manufactured locally, but their high cost and service life can be a burden. To improve healthcare, cost-effective manufacturing methods are needed to produce bio-components at low costs with desired quality. Biofabrication requires precision surface finish, but traditional processes like chemical etching, soft lithography, inkjet printing, and fused filament fabrication are limited for low aspect ratio and planar geometry. Micromilling, on the other hand, can produce components with high aspect ratio and 3-dimensional geometry. However, surface integrity issues, chatter, and surface form errors are major issues in micromilling. The proposed work proposes using an automated impact system to capture the dynamics of varying stiffness of thin-walled structures and predict the most accurate stable process parameters. The proposed stability lobes are expected to enhance surface quality and reduce geometrical and form errors for the manufactured bio-components.
Funding Organization
Funding Organization
Anusandhan National Research Foundation (ANRF)
Quick Information
Area of Research
Engineering Sciences
Focus Area
structural dynamics
Start Year
2024
End Year
2027
Sanction Amount
₹ 31.63 L
Status
Ongoing
Output
No. of Research Paper
00
Technologies (If Any)
00
No. of PhD Produced
N/A
Startup (If Any)
00
No. of Patents
Filed :00
Grant :00
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