Select Publications

Books

Liu A; Wang Y; Wang X, 2021, Data-Driven Engineering Design, http://dx.doi.org/10.1007/978-3-030-88181-8

Tao F; Liu A; Hu T; Nee AYC, 2020, Preface, http://dx.doi.org/10.1016/B978-0-12-818918-4.00016-6

Book Chapters

Liu A, 2021, 'Problem Definition', in Design Engineering and Science, pp. 167 - 189, http://dx.doi.org/10.1007/978-3-030-49232-8_5

Zhang M; Sui F; Liu A; Tao F; Nee AYC, 2020, 'Chapter 1 Digital twin driven smart product design framework', in Digital Twin Driven Smart Design, Elsevier, pp. 3 - 32, http://dx.doi.org/10.1016/b978-0-12-818918-4.00001-4

Wang Y; Liu A; Tao F; Nee AYC, 2020, 'Chapter 2 Digital twin driven conceptual design', in Digital Twin Driven Smart Design, Elsevier, pp. 33 - 66, http://dx.doi.org/10.1016/b978-0-12-818918-4.00002-6

Wang Y; Liu L; Liu A, 2020, 'Chapter 3 Conceptual design driven digital twin configuration', in Digital Twin Driven Smart Design, Elsevier, pp. 67 - 107, http://dx.doi.org/10.1016/b978-0-12-818918-4.00003-8

Lai Y; Wang Y; Ireland R; Liu A, 2020, 'Chapter 4 Digital twin driven virtual verification', in Digital Twin Driven Smart Design, Elsevier, pp. 109 - 138, http://dx.doi.org/10.1016/b978-0-12-818918-4.00004-x

Wang L; Tao F; Liu A; Nee AYC, 2020, 'Chapter 5 Digital twin driven design evaluation', in Digital Twin Driven Smart Design, Elsevier, pp. 139 - 164, http://dx.doi.org/10.1016/b978-0-12-818918-4.00005-1

Wang Y; Liu L; Liu A, 2020, 'Conceptual design driven digital twin configuration', in Digital Twin Driven Smart Design, Academic Press, http://dx.doi.org/10.1016/B978-0-12-818918-4.00003-8

Wang Y; Liu A; Tao F; Nee A, 2020, 'Digital twin driven conceptual design', in Digital Twin Driven Smart Design, Academic Press, http://dx.doi.org/10.1016/B978-0-12-818918-4.00002-6

Wang L; Tao F; Liu A; Nee A, 2020, 'Digital twin driven design evaluation', in Digital Twin Driven Smart Design, Academic Press, http://dx.doi.org/10.1016/B978-0-12-818918-4.00005-1

Zhang M; Sui F; Liu A; Tao F; Nee A, 2020, 'Digital twin driven smart product design framework', in Digital Twin Driven Smart Design, Academic Press, http://dx.doi.org/10.1016/B978-0-12-818918-4.00001-4

Lai Y; Wang Y; Ireland R; Liu A, 2020, 'Digital twin driven virtual verification', in Digital Twin Driven Smart Design, Academic Press, http://dx.doi.org/10.1016/B978-0-12-818918-4.00004-X

Tao F; Liu A; Hu T; Nee AYC, 2020, 'Preface', in Digital Twin Driven Smart Design, Elsevier, pp. xv - xvii, http://dx.doi.org/10.1016/b978-0-12-818918-4.00016-6

Edited Books

Tao F; Liu A; Hu T; Nee A, (eds.), 2020, Digital Twin Driven Smart Design, http://dx.doi.org/10.1016/C2018-0-04250-4

Journal articles

Tao F; Liu A; Anwer N; Zhang M; Wang L; Nee AYC, 2024, 'Editorial for the special issue on Digital twin in industry', International Journal of Advanced Manufacturing Technology, 131, pp. 5365 - 5367, http://dx.doi.org/10.1007/s00170-024-13440-y

Dai Y; Lin Z; Liu A; Wang W, 2024, 'An embodied, analogical and disruptive approach of AI pedagogy in upper elementary education: An experimental study', British Journal of Educational Technology, 55, pp. 417 - 434, http://dx.doi.org/10.1111/bjet.13371

Zhang Z; Zhuge X; Li X; Evans R; Liu A, 2024, 'An Object-Oriented Approach to the Modular Design of Mechatronic Systems', IEEE Transactions on Engineering Management, 71, pp. 2623 - 2639, http://dx.doi.org/10.1109/TEM.2022.3191438

Hu X; Liu A; Dai Y, 2024, 'Combining ChatGPT and knowledge graph for explainable machine learning-driven design: a case study', Journal of Engineering Design, http://dx.doi.org/10.1080/09544828.2024.2355758

Dai Y; Lin Z; Liu A; Dai D; Wang W, 2024, 'Effect of an Analogy-Based Approach of Artificial Intelligence Pedagogy in Upper Primary Schools', Journal of Educational Computing Research, 61, pp. 159 - 186, http://dx.doi.org/10.1177/07356331231201342

Tian Y; Liu A; Dai Y; Nagato K; Nakao M, 2024, 'Systematic synthesis of design prompts for large language models in conceptual design', CIRP Annals, http://dx.doi.org/10.1016/j.cirp.2024.04.062

Wang Y; Zhang L; Liu A; Wu C, 2023, 'Tribological performance for an Mg alloy subjected to sliding at elevated temperatures: A comparison between Al2O3 and MoS2 nano additives in silicone oil-based lubricant', Tribology International, 188, http://dx.doi.org/10.1016/j.triboint.2023.108856

Zhao H; Zhang L; Wu Z; Liu A; Imran M, 2023, 'Aggregate effect on the mechanical and fracture behaviours of concrete', International Journal of Mechanical Sciences, 243, http://dx.doi.org/10.1016/j.ijmecsci.2022.108067

Wang X; Liu A; Kara S, 2023, 'Constructing Product Usage Context Knowledge Graph Using User-Generated Content for User-Driven Customization', Journal of Mechanical Design, 145, http://dx.doi.org/10.1115/1.4056321

Nugraha RD; He K; Liu A; Zhang Z, 2023, 'Short-Term Cross-Sectional Time-Series Wear Prediction by Deep Learning Approaches', Journal of Computing and Information Science in Engineering, 23, http://dx.doi.org/10.1115/1.4054455

Dai Y; Lai S; Lim CP; Liu A, 2023, 'ChatGPT and its impact on research supervision: Insights from Australian postgraduate research students', Australasian Journal of Educational Technology, 39, pp. 74 - 88, http://dx.doi.org/10.14742/ajet.8843

Wang X; Anwer N; Dai Y; Liu A, 2023, 'ChatGPT for design, manufacturing, and education', Procedia CIRP, 119, pp. 7 - 14, http://dx.doi.org/10.1016/j.procir.2023.04.001

Dai Y; Liu A; Qin J; Guo Y; Jong MSY; Chai CS; Lin Z, 2023, 'Collaborative construction of artificial intelligence curriculum in primary schools', Journal of Engineering Education, 112, pp. 23 - 42, http://dx.doi.org/10.1002/jee.20503

Hu X; Liu A; Li X; Dai Y; Nakao M, 2023, 'Explainable AI for customer segmentation in product development', CIRP Annals, 72, pp. 89 - 92, http://dx.doi.org/10.1016/j.cirp.2023.03.004

Malshe AP; Bapat S; Rajurkar KP; Liu A; Linares JM, 2023, 'Exploring the intersection of biology and design for product innovations', CIRP Annals, 72, pp. 569 - 592, http://dx.doi.org/10.1016/j.cirp.2023.05.004

Wang Y; Wang X; Liu A; Zhang J; Zhang J, 2023, 'Ontology of 3D virtual modeling in digital twin: a review, analysis and thinking', Journal of Intelligent Manufacturing, http://dx.doi.org/10.1007/s10845-023-02246-6

Yang P; Wei G; Liu A; Huo F; Zhang Z, 2022, 'A review of sampling, energy supply and intelligent monitoring for long-term sweat sensors', npj Flexible Electronics, 6, http://dx.doi.org/10.1038/s41528-022-00165-9

Wang Y; Zhang L; Liu A; Wu C; Li W, 2022, 'Tribological performance of silicone oil based Al2O3 nano lubricant for an Mg alloy subjected to sliding at elevated temperatures', Tribology International, 175, http://dx.doi.org/10.1016/j.triboint.2022.107779

Wang X; Liu A; Kara S, 2022, 'Machine learning for engineering design toward smart customization: A systematic review', Journal of Manufacturing Systems, 65, pp. 391 - 405, http://dx.doi.org/10.1016/j.jmsy.2022.10.001

Zhao H; Zhang L; Wu Z; Liu A, 2022, 'Fracture mechanisms of intact rock-like materials under compression', Computers and Geotechnics, 148, http://dx.doi.org/10.1016/j.compgeo.2022.104845

Zhao H; Wu Z; Liu A; Zhang L, 2022, 'Numerical insights into the effect of ITZ and aggregate strength on concrete properties', Theoretical and Applied Fracture Mechanics, 120, http://dx.doi.org/10.1016/j.tafmec.2022.103415

Zhao H; Zhang L; Wu Z; Liu A, 2022, 'A new discrete element model for rock-like materials', Computers and Structures, 261-262, http://dx.doi.org/10.1016/j.compstruc.2021.106730

Chen S; Cai X; Wang X; Liu A; Lu Q; Xu X; Tao F, 2022, 'Blockchain applications in PLM towards smart manufacturing', International Journal of Advanced Manufacturing Technology, 118, pp. 2669 - 2683, http://dx.doi.org/10.1007/s00170-021-07802-z

Liu A; Zhang D; Wang Y; Xu X, 2022, 'Knowledge graph with machine learning for product design', CIRP Annals, 71, pp. 117 - 120, http://dx.doi.org/10.1016/j.cirp.2022.03.025

Zhang M; Tao F; Huang B; Liu A; Wang L; Anwer N; Nee AYC, 2022, 'Digital twin data: methods and key technologies', , http://dx.doi.org/10.12688/digitaltwin.17467.2

Zhang Z; Liu J; Evans RD; Liu A, 2021, 'A design communication framework based on structured knowledge representation', IEEE Transactions on Engineering Management, 68, pp. 1650 - 1662, http://dx.doi.org/10.1109/TEM.2020.3002648

Zhang M; Tao F; Huang B; Liu A; Wang L; Anwer N; Nee AYC, 2021, 'Digital twin data: methods and key technologies', Digital Twin, 1, pp. 2 - 2, http://dx.doi.org/10.12688/digitaltwin.17467.1

Wang L; Liu Z; Liu A; Tao F, 2021, 'Artificial intelligence in product lifecycle management', International Journal of Advanced Manufacturing Technology, 114, pp. 771 - 796, http://dx.doi.org/10.1007/s00170-021-06882-1

Liu A; Zhang D; Wang X; Xu X, 2021, 'Blockchain-based customization towards decentralized consensus on product requirement, quality, and price', Manufacturing Letters, 27, pp. 18 - 25, http://dx.doi.org/10.1016/j.mfglet.2020.12.001

Tao F; Anwer N; Liu A; Wang L; Nee AYC; Li L; Zhang M, 2021, 'Digital twin towards smart manufacturing and industry 4.0', Journal of Manufacturing Systems, 58, pp. 1 - 2, http://dx.doi.org/10.1016/j.jmsy.2020.12.005

Qi Q; Tao F; Hu T; Anwer N; Liu A; Wei Y; Wang L; Nee AYC, 2021, 'Enabling technologies and tools for digital twin', Journal of Manufacturing Systems, 58, pp. 3 - 21, http://dx.doi.org/10.1016/j.jmsy.2019.10.001

Wang X; Wang Y; Tao F; Liu A, 2021, 'New Paradigm of Data-Driven Smart Customisation through Digital Twin', Journal of Manufacturing Systems, 58, pp. 270 - 280, http://dx.doi.org/10.1016/j.jmsy.2020.07.023

Liu A; Yu Q; Xia B; Lu Q, 2021, 'Privacy-preserving design of smart products through federated learning', CIRP Annals, 70, pp. 103 - 106, http://dx.doi.org/10.1016/j.cirp.2021.04.022

Medini K; Peillon S; Orellano M; Wiesner S; Liu A, 2021, 'System modelling and analysis to support economic assessment of product-service systems', Systems, 9, pp. 1 - 17, http://dx.doi.org/10.3390/systems9010006

Wang Y; Wang X; Tao F; Liu A, 2021, 'Digital twin-driven complexity management in intelligent manufacturing', , http://dx.doi.org/10.12688/digitaltwin.17489.1


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