Jaydeep Karandikar Email & Phone Number

Knoxville, TN, US

Knoxville, Tennessee Area

Intelligent Machine Tool Research Group at the Manufacturing Demonstration Facility (MDF) at ORNL1. Physics-guided machine learning for machining process modeling2. Closed-loop control for automated stability boundary identification

Niskayuna, NY

1. Developed algorithms for total machining (milling, turning, and drilling) process cost optimization considering trade-offs between cycle time and tool life using machine learning methods for data-driven tool life modeling. The algorithms are integrated in a web-application that allows users to run simulations, save results to a database, and share.

Atlanta

1. Developed an adaptive sampling for freeform surface metrology. The adaptive algorithm iteratively optimizes the number of measurements and measurement locations to assess the conformity of the freeform surface using a value of information method. 2. Application of surrogate model based global optimization for machining cost minimization. The goal is to.

Charlotte, North Carolina Area

1. Application of Bayesian inference and decision theory to milling process optimization under uncertainty for machining hard-to-machine materials; results show a 90% decrease in machining cost.2. Bayesian updating using the Markov Chain Monte Carlo (MCMC) method for milling force modeling.3. Developed a novel algorithm for predicting remaining useful life.

Sheffield, United Kingdom

1. Tool condition monitoring using Bayesian classifier and Hidden Markov Models.2. Remaining useful tool life predictions using Bayesian inference.

Gainesville, Florida Area

1. Combining tool wear, stability, surface location error and uncertainty analysis in high-speed machining performance prediction.

Sheffield, United Kingdom

1. Develop a sensor-based monitoring system for machining aerospace alloys. 2. Design a Bayesian network inference methodology for tool condition monitoring using Bayesian classifiers.

Design Engineer - Control valves, Pressure Reducing and Desuperheating systems.

Ph.D., Mechanical Engineering

Activities and Societies: Tau Beta PiDissertation: The fundamental application of decision analysis for milling optimization under.

Ms, Mechanical Engineering

Thesis: Combining tool wear and dynamics in high-speed machining performance prediction.

B.S., Mechanical Engineering