Journal Articles (*: student advisee) Heading link
- 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)
Conference Papers-Presentations Heading link
- 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)