Laine Mears

Clemson University — United States

Engineering · Physical Sciences

28h-index2.8kcitations247works3.42yr avg
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Research Topics

Advanced machining processes and optimization(68), Electromagnetic Effects on Materials(51), Manufacturing Process and Optimization(47), Advanced Machining and Optimization Techniques(38), Advanced Welding Techniques Analysis(22)

Publications247 total

Improving vision-based tool wear state identification under varying lighting conditions using human guided-explainable AI approach
Manufacturing Letters·2025· 1 citedOpen Access
Identifying Tool Wear Stages in Turning Process through Machined Surface Image Analysis Using Convolutional Neural Network
Manufacturing Letters·2025· 1 citedOpen Access
A Welcome from the Editor-in-Chief
Manufacturing Letters·2025Open Access
Methodology for manipulation of workload in manual assembly experiments
Manufacturing Letters·2025Open Access
Brief Paper: Electric Pulse Assisted Milling
2025
Realizing on-machine tool wear monitoring through integration of vision-based system with CNC milling machine
Journal of Manufacturing Systems·2024· 25 cited
Comparison of Explainable AI for Image Classification to Human Perception: A Case Study of Threaded Fasteners
2024· 1 cited
Effects of temperature and stress evolution on microstructural change and mechanical properties during friction element welding
Manufacturing Letters·2024· 1 citedOpen Access
A Welcome from the Editor-in-Chief
Manufacturing Letters·2024Open Access
Testing scenario for comparison of real-time locating system in automotive manufacturing
Manufacturing Letters·2024· 2 citedOpen Access
Investigating the effect of nanobubble-based cutting fluid on tool wear and cutting forces in milling of Inconel 718
Manufacturing Letters·2024· 2 citedOpen Access
Research2Market Connect: Cloud-Based Platform to Connect Academic Research With SMEs for Accelerated Innovations
2024
HG-XAI: human-guided tool wear identification approach through augmentation of explainable artificial intelligence with machine vision
Journal of Intelligent Manufacturing·2024· 11 cited
Vision-Based Tool Wear Classification During End-Milling of Inconel 718 Using a Pre-Trained Convolutional Neural Network
2023· 3 cited
Investigation of stochastic toolpath strategy in three-axis ball-end milling of 2D and free-form surfaces
Proceedings of the Institution of Mechanical Engineers Part B Journal of Engineering Manufacture·2023· 2 cited
Tool wear area estimation through in-process edge force coefficient in trochoidal milling of Inconel 718
Manufacturing Letters·2023· 9 cited
A Welcome from the Editor-in-Chief
Manufacturing Letters·2023
Optimizing Data Training Quantity for Bearing Condition Monitoring
2023
Physics verification and validation for transferring data between bearings
Journal of Manufacturing Systems·2023
Evaluation of Contrived Wear Methodology in End Milling of Inconel 718
Journal of Manufacturing Science and Engineering·2023· 11 cited
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Frequent Co-authors

Farbod Akhavan Niaki(13), Durul Ulutan(10), Abram Pleta(9), John T. Roth(7), Wesley A. Salandro(6), Joshua J. Jones(6), Cristina Bunget(6), Thomas R. Kurfess(5), Mathew Kuttolamadom(4), Brandt J. Ruszkiewicz(3), Dragan Djurdjanović(3), Jamie D. Skovron(3), Matthew Krugh(2), Xiaoping Yang(2), Lujia Feng(2), Parikshit Mehta(2), Yue Wang(2), Ian D. Walker(2), Richard Pak(2), Sekou L. Remy(2)