Company Filing History:
Years Active: 2024
Title: Jaydeep M Karandikar: Innovator in Machining Stability
Introduction
Jaydeep M Karandikar is a notable inventor based in Oak Ridge, TN (US). He has made significant contributions to the field of machining, particularly in the area of stability boundary and optimal parameter identification. His innovative approach utilizes Bayesian learning to enhance machining processes.
Latest Patents
Karandikar holds a patent titled "Stability boundary and optimal stable parameter identification in machining." This invention presents a Bayesian learning approach for identifying stability boundaries and optimal parameters in milling without prior knowledge of tool dynamics or material cutting force coefficients. The method characterizes different axial depth and spindle speed combinations by a probability of stability, which is updated based on the stability results. A likelihood function is employed to incorporate knowledge of stability behavior. Numerical results demonstrate convergence to an analytical stability lobe diagram. The adaptive experimental strategy identifies optimal operating parameters that maximize material removal rate. This efficient and robust learning method allows for the identification of the stability lobe diagram and optimal operating parameters with a limited number of tests and data points. He has 1 patent.
Career Highlights
Karandikar is currently associated with UT-Battelle, Inc., where he continues to advance his research and innovations in machining. His work has been instrumental in improving the efficiency and effectiveness of machining processes.
Collaborations
Throughout his career, Karandikar has collaborated with notable colleagues, including Thomas A Feldhausen and Kyle S Saleeby. These collaborations have contributed to the development of innovative solutions in the field of machining.
Conclusion
Jaydeep M Karandikar is a distinguished inventor whose work in machining stability has paved the way for advancements in the industry. His innovative approaches and collaborations continue to influence the field positively.