Follow
Ankit Agarwal
Ankit Agarwal
Postdoctoral Researcher, Clemson University - International Center for Automotive Research
Verified email at clemson.edu - Homepage
Title
Cited by
Cited by
Year
Machine learning-based instantaneous cutting force model for end milling operation
S Vaishnav, A Agarwal, KA Desai
Journal of Intelligent Manufacturing 31 (6), 1353-1366, 2019
502019
Importance of bottom and flank edges in force models for flat-end milling operation
A Agarwal, KA Desai
The International Journal of Advanced Manufacturing Technology 107 (3), 1437 …, 2020
202020
Tool and Workpiece Deflection Induced Flatness Errors in Milling of Thin-walled Components
A Agarwal, KA Desai
Procedia CIRP (53rd CIRP Conference on Manufacturing Systems) 93, 1411-1416, 2020
122020
Predictive framework for cutting force induced cylindricity error estimation in end milling of thin-walled components
A Agarwal, KA Desai
Precision Engineering 66, 209-219, 2020
122020
Modeling of flatness errors in end milling of thin-walled components
A Agarwal, KA Desai
Proc. of IMechE, Part B: Journal of Engineering Manufacture 235 (3), 543-554, 2021
102021
Amalgamation of Physics-Based Cutting Force Model and Machine Learning Approach for End Milling Operation
A Agarwal, KA Desai
Procedia CIRP (53rd CIRP Conference on Manufacturing Systems) 93, 1405-1410, 2020
102020
Analyzing the evolution of tool wear area in trochoidal milling of Inconel 718 using image processing methodology
A Agarwal, N Potthoff, AM Shah, L Mears, P Wiederkehr
Manufacturing Letters 33, 373-379, 2022
72022
Effect of Workpiece Curvature on Axial Surface Error Profile in Flat End-Milling of Thin-walled Components
A Agarwal, KA Desai
Procedia Manufacturing (48th SME North American Manufacturing Research …, 2020
72020
Modelling of static surface error in end-milling of thin-walled geometries
N Arora, A Agarwal, KA Desai
International Journal of Precision Technology 8 (2-4), 107-123, 2019
72019
Experimental and simulative analysis of an adapted methodology for decoupling tool wear in end milling
N Potthoff, A Agarwal, F Wöste, J Liß, L Mears, P Wiederkehr
Manufacturing Letters 33, 380-387, 2022
32022
Rigidity regulation approach for geometric tolerance optimization in end milling of thin-walled components
A Agarwal, KA Desai
Journal of Manufacturing Science and Engineering 143 (11), 111006, 2021
32021
Evaluation of Contrived Wear Methodology in End Milling of Inconel 718
N Potthoff, A Agarwal, F Wöste, P Wiederkehr, L Mears
Journal of Manufacturing Science and Engineering 145 (10), 101002, 2023
22023
Effect of component configuration on geometric tolerances during end milling of thin-walled parts
A Agarwal, KA Desai
The International Journal of Advanced Manufacturing Technology 118 (11-12 …, 2022
22022
Investigation of stochastic toolpath strategy in three-axis ball-end milling of 2D and free-form surfaces
NA Kharat, A Agarwal, T Grimm, L Mears
Proc. of the IMechE, Part B: Journal of Engineering Manufacture, 1-15, 2023
12023
Design-as-a-Service Framework for Enabling Innovations in Small and Medium-Sized Enterprises
A Agarwal, PC Sorathiya, S Vaishnav, KA Desai, L Mears
Journal of Mechanical Design 145 (4), 044501, 2023
12023
Vision-Based Tool Wear Classification During End-Milling of Inconel 718 Using a Pre-Trained Convolutional Neural Network
AS Kumar, A Agarwal, VG Jansari, KA Desai, C Chattopadhyay, L Mears
ASME International Mechanical Engineering Congress and Exposition 87608 …, 2023
2023
Tool wear area estimation through in-process edge force coefficient in trochoidal milling of Inconel 718
AM Shah, A Agarwal, L Mears
Manufacturing Letters 35, 391-398, 2023
2023
Modeling and Control of Geometric Tolerances in End Milling of Thin-walled Components
A Agarwal
Indian Institute of Technology Jodhpur, 2021
2021
Implementation of Automated Material Handling System in Assembly Shop
A Agarwal
Delhi Technological University, Delhi, 2015
2015
The system can't perform the operation now. Try again later.
Articles 1–19