Projects per year
Overview
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
Education/Academic qualification
Eng-Mechanical, Doctorate Degree
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Dive into the research topics where Jaydeep Karandikar is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Researcher collaborations from the last five years
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Projects
- 1 Finished
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GOALI: Reducing Manufacturing Cost for the Energy Industry through Predictive Process Modeling
Schmitz, T. (PI) & Karandikar, J. (CoPI)
05/1/16 → 09/30/19
Project: Research
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A data-driven framework for predicting machining stability: employing simulated data, operational modal analysis, and enhanced transfer learning
Coble, J., Alberts, M., St. John, S., Odie, S., Khojandi, A., Jared, B., Schmitz, T. & Karandikar, J., 2024, (Accepted/In press) In: International Journal of Advanced Manufacturing Technology.Research output: Contribution to journal › Article › peer-review
1 Scopus citations -
BAYESIAN OPTIMIZATION FOR PROCESS PARAMETER DEVELOPMENT IN WIRE-ARC ADDITIVE MANUFACTURING
Karandikar, J., Chaudhuri, A., Penney, J., Goodspeed, D., Jared, B., Tyler, C. & Schmitz, T., 2024, Proceedings of the 2024 ASPE-euspen Summer Topical Meeting on Advancing Precision in Additive Manufacturing. American Society for Precision Engineering, ASPE, p. 63-66 4 p. (Proceedings of the 2024 ASPE-euspen Summer Topical Meeting on Advancing Precision in Additive Manufacturing).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
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Chatter detection in simulated machining data: a simple refined approach to vibration data
Alberts, M., St. John, S., Jared, B., Karandikar, J., Khojandi, A., Schmitz, T. & Coble, J., Jun 2024, In: International Journal of Advanced Manufacturing Technology. 132, 9-10, p. 4541-4557 17 p.Research output: Contribution to journal › Article › peer-review
Open Access5 Scopus citations -
COUPLED EULERIAN-LAGRANGIAN THERMOMECHANICAL MODEL TO PREDICT RESIDUAL STRESS DURING ADDITIVE FRICTION STIR DEPOSITION OF ALUMINUM 6061
Mathews, R., Karandikar, J., Tyler, C., Smith, S. & Schmitz, T., 2024, Additive Manufacturing; Advanced Materials Manufacturing; Biomanufacturing; Life Cycle Engineering. American Society of Mechanical Engineers (ASME), (Proceedings of ASME 2024 19th International Manufacturing Science and Engineering Conference, MSEC 2024; vol. 1).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
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Cutting force estimation from machine learning and physics-inspired data-driven models utilizing accelerometer measurements
Vogl, G. W., Qu, Y., Eischens, R., Corson, G., Schmitz, T., Honeycutt, A., Karandikar, J. & Smith, S., 2024, In: Procedia CIRP. 126, p. 318-323 6 p.Research output: Contribution to journal › Conference article › peer-review
Open Access