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Ning Liu
Ning Liu
Advanced Remanufacturing and Technology Centre (ARTC)
Verified email at artc.a-star.edu.sg
Title
Cited by
Cited by
Year
A hybrid approach to energy consumption modelling based on cutting power: a milling case
N Liu, YF Zhang, WF Lu
Journal of Cleaner Production 104, 264-272, 2015
1182015
A novel approach to predicting surface roughness based on specific cutting energy consumption when slot milling Al-7075
N Liu, SB Wang, YF Zhang, WF Lu
International Journal of Mechanical Sciences 118, 13-20, 2016
892016
A novel energy consumption model for milling process considering tool wear progression
KN Shi, DH Zhang, N Liu*, SB Wang, JX Ren, SL Wang
Journal of cleaner production 184, 152-159, 2018
642018
An Improved Cutting Power-based Model for Evaluating Total Energy Consumption in General End Milling Process
KN Shi, JX Ren, SB Wang, N Liu*, ZM Liu, DH Zhang, WF Lu
Journal of Cleaner Production, 2019
542019
Improving Energy Efficiency in Discrete Parts Manufacturing System Using an Ultra-Flexible Job Shop Scheduling Algorithm
N Liu*, YF Zhang, WF Lu
International Journal of Precision Engineering and Manufacturing-Green …, 2019
362019
Interference-and chatter-free cutter posture optimization towards minimal surface roughness in five-axis machining
Z Zhao, S Wang, Z Wang, N Liu, S Wang, C Ma, B Yang
International Journal of Mechanical Sciences 171, 105395, 2020
342020
Integrated numerical modelling and deep learning for multi-layer cube deposition planning in laser aided additive manufacturing
K Ren, Y Chew, N Liu, YF Zhang, JYH Fuh, GJ Bi
Virtual and Physical Prototyping 16 (3), 318-332, 2021
242021
A profile error compensation method in precision grinding of screw rotors
Z Liu, Q Tang, N Liu, J Song
The International Journal of Advanced Manufacturing Technology 100, 2557-2567, 2019
202019
Learn to Navigate Maplessly with Varied LiDAR Configurations: A Support Point-Based Approach
W Zhang, N Liu*, Y Zhang
IEEE Robotics and Automation Letters, 2021
192021
Experimental and Theoretical Investigation of Milling Tool Selection towards Energy-efficient Process Planning in Discrete Parts Manufacturing
KN Shi, SB Wang, N Liu*, JX Ren, Y Yuan
The International Journal of Advanced Manufacturing Technology, 2019
182019
Effect of tool path on cutting force in end milling
K Shi, N Liu, S Wang, J Ren
The International Journal of Advanced Manufacturing Technology 104, 4289-4300, 2019
142019
Integrating physics-informed recurrent Gaussian process regression into instance transfer for predicting tool wear in milling process
B Qiang, K Shi, N Liu*, J Ren, Y Shi
Journal of Manufacturing Systems 68, 42-55, 2023
132023
Danger-aware adaptive composition of drl agents for self-navigation
W Zhang, Y Zhang, N Liu
Unmanned Systems 9 (01), 1-9, 2021
132021
Indirect approach for predicting cutting force coefficients and power consumption in milling process
KN Shi, N Liu*, CL Liu, JX Ren, SS Yang, WC Tan
Advances in Manufacturing, 1-13, 2021
122021
Energy-efficient integration of process planning and scheduling in discrete parts manufacturing with a heuristic-based two-stage approach
N Liu, YF Zhang, WF Lu
The International Journal of Advanced Manufacturing Technology 106, 2415-2432, 2020
122020
A Novel Optimization Design Method of Form Grinding Wheel for Screw Rotor
Z Liu, Q Tang, N Liu*, P Liang, W Liu
Applied Sciences 9 (23), 5079, 2019
102019
An analytical method for surface roughness prediction in precision grinding of screw rotors
ZM Liu, Q Tang, YF Zhang, N Liu
The International Journal of Advanced Manufacturing Technology, 1-12, 2019
92019
IPAPRec: A promising tool for learning high-performance mapless navigation skills with deep reinforcement learning
W Zhang, Y Zhang, N Liu, K Ren, P Wang
IEEE/ASME Transactions on Mechatronics 27 (6), 5451-5461, 2022
82022
IIoT-enabled and data-driven sustainability evaluation framework for textile supply chain
TW Chit, L Ning, NA Paliath, YM Long, H Akhtar, Y Shanshan
2021 IEEE 16th conference on industrial electronics and applications (ICIEA …, 2021
82021
An evolutional algorithm for automatic 2D layer segmentation in laser-aided additive manufacturing
N Liu, K Ren, W Zhang, YF Zhang, YX Chew, GJ Bi, JYH Fuh
Additive Manufacturing 47, 102342, 2021
72021
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