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Abhilash P M
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Prediction and analysis of process failures by ANN classification during wire-EDM of Inconel 718
PM Abhilash, D Chakradhar
Advances in Manufacturing 8 (4), 519-536, 2020
402020
ANFIS modelling of mean gap voltage variation to predict wire breakages during wire EDM of Inconel 718
PM Abhilash, D Chakradhar
CIRP Journal of Manufacturing Science and Technology 31, 153-164, 2020
332020
Failure detection and control for wire EDM process using multiple sensors
PM Abhilash, D Chakradhar
CIRP Journal of Manufacturing Science and Technology 33, 315-326, 2021
302021
Sustainability improvement of WEDM process by analysing and classifying wire rupture using kernel-based naive Bayes classifier
PM Abhilash, D Chakradhar
Journal of the Brazilian Society of Mechanical Sciences and Engineering 43 …, 2021
262021
Multi-response Optimization of Wire EDM of Inconel 718 Using a Hybrid Entropy Weighted GRA-TOPSIS Method
PM Abhilash, D Chakradhar
Process Integration and Optimization for Sustainability 6 (1), 61-72, 2022
242022
Wire EDM failure prediction and process control based on sensor fusion and pulse train analysis
PM Abhilash, D Chakradhar
The International Journal of Advanced Manufacturing Technology 118 (5-6 …, 2022
222022
Surface integrity comparison of wire electric discharge machined Inconel 718 surfaces at different machining stabilities
PM Abhilash, D Chakradhar
Procedia CIRP 87, 228-233, 2020
222020
Finite element modelling of orthogonal machining of hard to machine materials
A Ramesh, CS Sumesh, PM Abhilash, S Rakesh
International Journal of Machining and Machinability of Materials 17 (6 …, 2015
192015
Machine-vision-based electrode wear analysis for closed loop wire EDM process control
PM Abhilash, D Chakradhar
Advances in Manufacturing 10 (1), 131-142, 2022
112022
Image processing algorithm for detection, quantification and classification of microdefects in wire electric discharge machined precision finish cut surfaces
PM Abhilash, D Chakradhar
Journal of Micromanufacturing, 1-11, 2021
112021
Performance monitoring and failure prediction system for wire electric discharge machining process through multiple sensor signals
PM Abhilash, D Chakradhar
Machining Science and Technology 26 (2), 245-275, 2022
102022
Convolutional neural network–based classification for improving the surface quality of metal additive manufactured components
PM Abhilash, A Ahmed
The International Journal of Advanced Manufacturing Technology 126 (9), 3873 …, 2023
72023
An image-processing approach for polishing metal additive manufactured components to improve the dimensional accuracy and surface integrity
PM Abhilash, A Ahmed
The International Journal of Advanced Manufacturing Technology, 1-21, 2023
52023
Effect of wire material and discharge energy on productivity and surface integrity of WEDM-processed Inconel 718
PM Abhilash, D Chakradhar
Advances in Materials and Processing Technologies 8 (4), 4698-4719, 2022
52022
Material Extrusion Filament Width and Height Prediction via Design of Experiment and Machine Learning
X Shi, Y Sun, H Tian, PM Abhilash, X Luo, H Liu
Micromachines 14 (11), 2091, 2023
12023
Intrinsic and post-hoc XAI approaches for fingerprint identification and response prediction in smart manufacturing processes
PM Abhilash, X Luo, Q Liu, C Walker, R Madarkar, Y Cai, Z Liu, W Chang, ...
Journal of Intelligent Manufacturing, 1-22, 2024
2024
Rolling contact fatigue studies on AISI 4140 steel under formulated lubrication conditions with nano graphene additives
MR Ranju, PM Abhilash, D Kesavan
Wear, 205311, 2024
2024
An overview on post-processing of metal additive manufactured components
J Boban, PM Abhilash, A Ahmed, MA Rahman
Elsevier, 2024
2024
Digital twin of dynamic error of a collaborative robot
C Walker, X Luo, PM Abhilash, Q Liu, R Madarkar, E Yang
Euspen’s 23rd International Conference & Exhibition, Copenhagen, DK, June 2023, 2023
2023
Digital twin-driven additive manufacturing: Advancements and future prospects
PM Abhilash, J Boban, A Ahmed, X Luo
Hybrid Metal Additive Manufacturing, 196-221, 2023
2023
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