Dr Ying Liu

  • Lecturer (Systems Power and Energy)

Publications

List by: Type | Date

Jump to: 2018 | 2017 | 2016 | 2015 | 2014
Number of items: 15.

2018

Lv, J., Tang, R., Tang, W., Jia, S., Liu, Y. and Cao, Y. (2018) An investigation into methods for predicting material removal energy consumption in turning. Journal of Cleaner Production, 193, pp. 128-139. (doi:10.1016/j.jclepro.2018.05.035)

Liu, Y. , Farnsworth, M. and Tiwari, A. (2018) Energy-efficient scheduling of flexible flow shop of composite recycling. International Journal of Advanced Manufacturing Technology, 97(1-4), pp. 117-127. (doi:10.1007/s00170-018-1852-x)

Gong, X., Liu, Y. , Lohse, N., De Pessemier, T., Martens, L. and Joseph, W. (2018) Energy and labor aware production scheduling for industrial demand response using adaptive multi-objective memetic algorithm. IEEE Transactions on Industrial Informatics, (doi:10.1109/TII.2018.2839645) (Early Online Publication)

Hu, L., Tang, R., Liu, Y. , Cao, Y. and Tiwari, A. (2018) Optimising the machining time, deviation and energy consumption through a multi-objective feature sequencing approach. Energy Conversion and Management, 160, pp. 126-140. (doi:10.1016/j.enconman.2018.01.005)

2017

Yao, X., Zhou, J., Lin, Y., Li, Y., Yu, H. and Liu, Y. (2017) Smart manufacturing based on cyber-physical systems and beyond. Journal of Intelligent Manufacturing, (doi:10.1007/s10845-017-1384-5) (Early Online Publication)

Hu, L., Liu, Y. , Lohse, N., Tang, R., Lv, J., Peng, C. and Evans, S. (2017) Sequencing the features to minimise the non-cutting energy consumption in machining considering the change of spindle rotation speed. Energy, 139, pp. 935-946. (doi:10.1016/j.energy.2017.08.032)

Jia, S., Yuan, Q., Lv, J., Liu, Y. , Ren, D. and Zhang, Z. (2017) Therblig-embedded value stream mapping method for lean energy machining. Energy, 138, pp. 1081-1098. (doi:10.1016/j.energy.2017.07.120)

Zhang, Y., Qian, C., Lv, J. and Liu, Y. (2017) Agent and cyber-physical system based self-organizing and self-adaptive intelligent shopfloor. IEEE Transactions on Industrial Informatics, 13(2), pp. 737-747. (doi:10.1109/TII.2016.2618892)

Hu, L., Peng, C., Evans, S., Peng, T., Liu, Y. , Tang, R. and Tiwari, A. (2017) Minimising the machining energy consumption of a machine tool by sequencing the features of a part. Energy, 121, pp. 292-305. (doi:10.1016/j.energy.2017.01.039)

Lv, J., Tang, R., Tang, W., Liu, Y. , Zhang, Y. and Jia, S. (2017) An investigation into reducing the spindle acceleration energy consumption of machine tools. Journal of Cleaner Production, 143, pp. 794-803. (doi:10.1016/j.jclepro.2016.12.045)

Liu, Y. , Farnsworth, M. and Tiwari, A. (2017) A review of optimisation techniques used in the composite recycling area: state-of-the-art and steps towards a research agenda. Journal of Cleaner Production, 140, pp. 1775-1781. (doi:10.1016/j.jclepro.2016.08.038)

2016

Liu, Y. , Dong, H., Lohse, N. and Petrovic, S. (2016) A multi-objective genetic algorithm for optimisation of energy consumption and shop floor production performance. International Journal of Production Economics, 179, pp. 259-272. (doi:10.1016/j.ijpe.2016.06.019)

Lv, J., Tang, R., Jia, S. and Liu, Y. (2016) Experimental study on energy consumption of computer numerical control machine tools. Journal of Cleaner Production, 112, pp. 3864-3874. (doi:10.1016/j.jclepro.2015.07.040)

2015

Liu, Y. , Dong, H., Lohse, N. and Petrovic, S. (2015) Reducing environmental impact of production during a Rolling Blackout policy: A multi-objective schedule optimisation approach. Journal of Cleaner Production, 102, pp. 418-427. (doi:10.1016/j.jclepro.2015.04.038)

2014

Liu, Y. , Dong, H., Lohse, N., Petrovic, S. and Gindy, N. (2014) An investigation into minimising total energy consumption and total weighted tardiness in job shops. Journal of Cleaner Production, 65, pp. 87-96. (doi:10.1016/j.jclepro.2013.07.060)

This list was generated on Mon Sep 24 01:16:06 2018 BST.
Jump to: Articles
Number of items: 15.

Articles

Lv, J., Tang, R., Tang, W., Jia, S., Liu, Y. and Cao, Y. (2018) An investigation into methods for predicting material removal energy consumption in turning. Journal of Cleaner Production, 193, pp. 128-139. (doi:10.1016/j.jclepro.2018.05.035)

Liu, Y. , Farnsworth, M. and Tiwari, A. (2018) Energy-efficient scheduling of flexible flow shop of composite recycling. International Journal of Advanced Manufacturing Technology, 97(1-4), pp. 117-127. (doi:10.1007/s00170-018-1852-x)

Gong, X., Liu, Y. , Lohse, N., De Pessemier, T., Martens, L. and Joseph, W. (2018) Energy and labor aware production scheduling for industrial demand response using adaptive multi-objective memetic algorithm. IEEE Transactions on Industrial Informatics, (doi:10.1109/TII.2018.2839645) (Early Online Publication)

Hu, L., Tang, R., Liu, Y. , Cao, Y. and Tiwari, A. (2018) Optimising the machining time, deviation and energy consumption through a multi-objective feature sequencing approach. Energy Conversion and Management, 160, pp. 126-140. (doi:10.1016/j.enconman.2018.01.005)

Yao, X., Zhou, J., Lin, Y., Li, Y., Yu, H. and Liu, Y. (2017) Smart manufacturing based on cyber-physical systems and beyond. Journal of Intelligent Manufacturing, (doi:10.1007/s10845-017-1384-5) (Early Online Publication)

Hu, L., Liu, Y. , Lohse, N., Tang, R., Lv, J., Peng, C. and Evans, S. (2017) Sequencing the features to minimise the non-cutting energy consumption in machining considering the change of spindle rotation speed. Energy, 139, pp. 935-946. (doi:10.1016/j.energy.2017.08.032)

Jia, S., Yuan, Q., Lv, J., Liu, Y. , Ren, D. and Zhang, Z. (2017) Therblig-embedded value stream mapping method for lean energy machining. Energy, 138, pp. 1081-1098. (doi:10.1016/j.energy.2017.07.120)

Zhang, Y., Qian, C., Lv, J. and Liu, Y. (2017) Agent and cyber-physical system based self-organizing and self-adaptive intelligent shopfloor. IEEE Transactions on Industrial Informatics, 13(2), pp. 737-747. (doi:10.1109/TII.2016.2618892)

Hu, L., Peng, C., Evans, S., Peng, T., Liu, Y. , Tang, R. and Tiwari, A. (2017) Minimising the machining energy consumption of a machine tool by sequencing the features of a part. Energy, 121, pp. 292-305. (doi:10.1016/j.energy.2017.01.039)

Lv, J., Tang, R., Tang, W., Liu, Y. , Zhang, Y. and Jia, S. (2017) An investigation into reducing the spindle acceleration energy consumption of machine tools. Journal of Cleaner Production, 143, pp. 794-803. (doi:10.1016/j.jclepro.2016.12.045)

Liu, Y. , Farnsworth, M. and Tiwari, A. (2017) A review of optimisation techniques used in the composite recycling area: state-of-the-art and steps towards a research agenda. Journal of Cleaner Production, 140, pp. 1775-1781. (doi:10.1016/j.jclepro.2016.08.038)

Liu, Y. , Dong, H., Lohse, N. and Petrovic, S. (2016) A multi-objective genetic algorithm for optimisation of energy consumption and shop floor production performance. International Journal of Production Economics, 179, pp. 259-272. (doi:10.1016/j.ijpe.2016.06.019)

Lv, J., Tang, R., Jia, S. and Liu, Y. (2016) Experimental study on energy consumption of computer numerical control machine tools. Journal of Cleaner Production, 112, pp. 3864-3874. (doi:10.1016/j.jclepro.2015.07.040)

Liu, Y. , Dong, H., Lohse, N. and Petrovic, S. (2015) Reducing environmental impact of production during a Rolling Blackout policy: A multi-objective schedule optimisation approach. Journal of Cleaner Production, 102, pp. 418-427. (doi:10.1016/j.jclepro.2015.04.038)

Liu, Y. , Dong, H., Lohse, N., Petrovic, S. and Gindy, N. (2014) An investigation into minimising total energy consumption and total weighted tardiness in job shops. Journal of Cleaner Production, 65, pp. 87-96. (doi:10.1016/j.jclepro.2013.07.060)

This list was generated on Mon Sep 24 01:16:06 2018 BST.