Journal Articles (*: student advisee)
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Ghungrad, Suyog*, Mohammed A, and Azadeh Haghighi. “Energy-efficient and quality-aware part placement in robotic additive manufacturing.” Journal of Manufacturing Systems (2023). (Click here)
Ghungrad, Suyog*, Faegh, Meysam*, Gould B, Wolff S J, and Azadeh Haghighi. “Architecture-Driven Physics-Informed Deep Learning for Temperature Prediction in Laser Powder Bed Fusion Additive Manufacturing With Limited Data.” Journal of Manufacturing Science and Engineering 145, no. 8 (2023): 081007. (Click here)
Khosravani, Mohammad Reza, and Azadeh Haghighi. “Large-scale automated additive construction: Overview, robotic solutions, sustainability, and future prospect.” Sustainability 14, no. 15 (2022): 9782. (Click here)
Ghungrad Suyog*, Gould B, Soltanalian M, Wolff S J, Azadeh Haghighi. “Model-based deep learning for additive manufacturing : New frontiers and applications”, Manufacturing Letters Journal 2021;29:4–8 (2021). (Click here)
Haghighi, Azadeh and Lin Li. “A Hybrid Physics-based and Data-driven Approach for Characterizing Porosity Variation and Filament Bonding in Extrusion-based Additive Manufacturing”, Additive Manufacturing 36 (2020). (Click here)
Li, Lin, Azadeh Haghighi, and Yiran Yang. “Theoretical Modeling and Prediction of Surface Roughness for Hybrid Additive-Subtractive Manufacturing Processes.”, IISE Transactions 51, no. 2 (2019): 124-135. (Click here)
Haghighi, Azadeh and Lin Li. “Joint Asymmetric Tolerance Design and Manufacturing Decision Making for Additive Manufacturing Processes”, IEEE Transactions on Automation Science and Engineering 16, no. 3 (2018): 1259-1270. (Click here)
Li, Lin, Azadeh Haghighi, and Yiran Yang. “A Novel 6-axis Hybrid Additive Subtractive Manufacturing Process: Design and Case Studies.”, Journal of Manufacturing Processes 33 (2018): 150-160. (Click here)
Haghighi, Azadeh and Lin Li. “Study of the Relationship Between Dimensional Performance and Manufacturing Cost in Fused Deposition Modeling.”, Rapid Prototyping Journal 24, no. 2 (2018): 395-408. (Click here)
Ji, Wei, Lihui Wang, Azadeh Haghighi, Mohammad Givehchi, and Xianli Liu. “An Enriched Machining Feature Based Approach to Cutting Tool Selection.” International Journal of Computer Integrated Manufacturing 31, no. 1 (2018), 1-10. (Click here)
Givehchi, Mohammad, Azadeh Haghighi, and Lihui Wang. “Cloud-DPP for Distributed Process Planning of Mill-Turn Machining Operations.”, Robotics and Computer-Integrated Manufacturing 47 (2017): 76-84. (Click here)
Wang, Lihui, and Azadeh Haghighi. “Combined Strength of Holons, Agents and Function blocks in Cyber-Physical Systems.”, Journal of Manufacturing Systems 40 (2016): 25-34.3. (Click here)
Ji, Wei, Lihui Wang, Azadeh Haghighi, Mohammad Givehchi, and Xianli Liu. “A Reachability Based Approach for Machining Feature Sequencing.” Journal of Manufacturing Systems 40 (2016): 96-104. (Click here)
Givehchi, Mohammad, Azadeh Haghighi, and Lihui Wang. “Generic Machining Process Sequencing Through a Revised Enriched Machining Feature Concept.” Journal of Manufacturing Systems 37 (2015): 564-575. (Click here)
Ghungrad, Suyog*, Mohammed A, and Azadeh Haghighi. “Energy-efficient and quality-aware part placement in robotic additive manufacturing.” SME North American Manufacturing Research Conference (NAMRC), 2023 – (fast tracked to journal paper). (Click here)
Ghungrad Suyog*, Gould B, Wolff S J, and Azadeh Haghighi. “Physics-Informed Artificial Intelligence For Temperature Prediction In Metal Additive Manufacturing: A Comparative Study.” In ASME 2022 17th International Manufacturing Science and Engineering Conference, American Society of Mechanical Engineers, 2022. (Click here)
Haghighi, Azadeh, Mohammed, A, & Wang, L. “Energy Efficient Multi-Robotic 3D Printing for Large-Scale Construction – Framework, Challenges, and a Systematic Approach.” In ASME 2021 16th International Manufacturing Science and Engineering Conference, American Society of Mechanical Engineers, 2021.(Click here)
Haghighi, Azadeh, and Lin Li. “Perception of Bonding Degree in Additive Manufacturing via Machine Learning.”, In Proceedings of IISE Annual Conference and Expo, Nov 2020.
Haghighi, Azadeh, and Lin Li. “Optimal Feature Sequencing in Hybrid Additive-Subtractive Manufacturing Processes.”, Poster Presentation, IISE Annual Conference and Expo, May 2018.
Yang, Yiran, Azadeh Haghighi, and Lin Li. “Energy Consumption Study for 6-Axis Hybrid Additive-Subtractive Manufacturing Process.”, In Proceedings of IISE Annual Conference and Expo, May 2018. (Click here)
Haghighi, Azadeh, Yiran Yang, and Lin Li. “Dimensional Performance of As-Built Assemblies in Polyjet Additive Manufacturing Process.” In ASME 2017 12th International Manufacturing Science and Engineering Conference, American Society of Mechanical Engineers, 2017. (Click here)
Wang, Lihui, and Azadeh Haghighi. “Combined Strength of Holons, Agents and Function blocks in Cyber-Physical Systems.”, SME North American Manufacturing Research Conference (NAMRC), 2016 – (fast tracked to journal paper). (Click here)
Givehchi, Mohammad, Azadeh Haghighi and Lihui Wang. “Latest Advances in Adaptive Process Planning for Machining.”, 4th International Conference on Virtual Machining Process Technology, June 2015.
Givehchi, Mohammad, Azadeh Haghighi, and Lihui Wang. “Adaptive Distributed Process Planning and Executions for Multi-Tasking Machining Centers with Special Functionalities.” In Proceedings of the 25th International Conference on Flexible Automation and Intelligent Manufacturing, vol. 2, pp. 288-295, 2015.
Givehchi, Mohammad, Azadeh Haghighi, and Lihui Wang. “Generic Machining Process Sequencing Through a Revised Enriched Machining Feature Concept.”, SME North American Manufacturing Research Conference (NAMRC), 2015 – (fast tracked to journal paper).
Haghighi, Azadeh, Navid Shariat Zadeh, Gunilla Sivard, Thomas Lundholm, and Yvonne Eriksson. “Digital Learning Factories: Conceptualization, Review and Discussion.” In The 6th Swedish Production Symposium, 2014. (Click here)