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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

Principal Investigator
Dr. Kundan Kumar Singh
Birla Institute Of Technology And Science, Pilani, Hyderabad Campus, Telangana
kundanju@gmail.com
CO-Principal Investigator
Dr. Arshad Javed
Birla Institute Of Technology And Science, Pilani, Hyderabad Campus,Jawahar Nagar, Kapra Mandal,Telangana,Medchal Malkajgiri-500078
CO-Principal Investigator
Dr. Sureshkumar Reddy Narala
Birla Institute Of Technology And Science, Pilani, Hyderabad Campus,Jawahar Nagar, Kapra Mandal,Telangana,Medchal Malkajgiri-500078

Project Overview

India is a developing country. India's health care is progressing but there are lot more issues to be improved for better health care in developing country, like India. Villages of India are still facing lots of health care issue and one of the issues is an availability of affordable health care facility. The higher cost of biomedical components if manufactured indigenously and higher service life of the different implant and bone repair material can ease the burdens of associated high cost for providing the health care facilities to the patient. Hence, it is vital to work on developing a cost effective manufacturing methods to produce the bio-components at low cost with desired quality. Moreover, it is also required to make available the patients’ specific implants and bio-components on time. The biofabrication requires the components to be manufactured with a precision surface finish. The processes, which are generally used to manufacture the components for biofabrication are chemical etching, soft lithography, inkjet printing and fused filament fabrication. These processes are suitable for producing the components with low aspect ratio and planar geometry and are limited for the material like Silicon. Moreover, high throughput, reproducibility and high accuracy is also not achievable with these biofabrication process. Alternatively, the micromilling process has attracted researchers to explore the possibility of using it for the biofabrication process, as it can manufacture the components with high aspect ratio and 3-dimensional geometry. Thin-wall structures are usually manufactured from advanced materials widely used in the aeronautical sector and biomedical industries such as titanium alloys, although some high-performance materials such as Inconel or specific types of stainless steel can also be used. Hence, the manufacturing of high aspect ratio and high precision surfaces with repeatability for biofabrication necessities the application of micrommilling to be explored. The three major issues of the micromilling are surface integrity issues, chatter, and surface form errors. All these errors are linked to modal parameters of the workpiece and the cutting tool. Specially in case of thin-walled structures, stiffness of the workpiece changes instantly, which alters the dynamics of the micromilling process. The chosen stable process parameters at the beginning of cutting operation may become unstable process parameter, as cutting progress. Hence, the present work proposes the use of automated impact system to capture the dynamics of varying stiffness of the thin-walled structures to predict the most accurate stable process parameters. It is expected that the process parameters taken from the proposed stability lobes will increases the enhances the surface quality of the machined part and will reduce the geometrical and form error for the manufactured bio-components.
Funding Organization
Quick Information
Area of Research
Engineering Sciences
Focus Area
Mechanical & Manufacturing Engineering & Robotics
Start Date
24 May 2024
End Date
23 May 2027
Status
ongoing
Output
No. of Research Paper
00
Technologies (If Any)
00
No. of PhD Produced
00
Publications
01
No. of Patents
Filed : 01
Grant : 00
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