Article
Engineering, Multidisciplinary
Martin Bihr, Gregoire Allaire, Xavier Betbeder-Lauque, Beniamin Bogosel, Felipe Bordeu, Julie Querois
Summary: This paper focuses on shape and topology optimization of parts and supports in the context of metal powder bed additive manufacturing. The process complexity is simplified using the inherent strain model, which allows for computationally efficient optimization. Three optimization criteria are proposed to minimize defects caused by additive manufacturing, and a compliance constraint is included to ensure the final performance of the part. The numerical results are validated through experimental testing and are used to calibrate the inherent strain model.
COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING
(2022)
Article
Chemistry, Multidisciplinary
Peter Holub, Ladislav Gulan, Andrej Korec, Viktoria Chovancikova, Miroslav Nagy, Martin Nagy
Summary: This research aims to shorten the development time of products in the automotive and engineering industry and improve their output properties. By implementing advanced design methods, such as topological optimization, significant reductions in development time and product weight have been achieved.
APPLIED SCIENCES-BASEL
(2023)
Article
Polymer Science
Fabian Ferrano, Tizian Wachter, Miranda Fateri, Michael Schmiedt
Summary: The influence of extrusion infill angles on the mechanical properties of 3D printed test specimens were investigated in this study. Different polylactide (PLA) specimens with varying infill angles were manufactured and tested using Computed Tomography (CT) scanning and optical measuring system. The results showed significant deviation between the real geometry behavior and the model. Finite Element Method (FEM) simulations were also conducted, which predicted an increase in stiffness, ultimate tensile strength, and strain at failure due to geometric deviation. The goal of this work is to evaluate the stiffness and strength of FFF-printed components using FEM with a justifiable testing effort, considering the directional dependence and suitable strength criterion.
Article
Engineering, Chemical
Guang Miao, Kaisheng Zhuo, Guoqing Li, Jing Xiao
Summary: The hybrid heat-integrated pressure-swing distillation process (HHIPSD) with heat pump is proposed for the separation of binary azeotropes, achieving lower cost and higher efficiency. The robustness of the model and algorithm optimization are studied, leading to the improved performance of the HHIPSD process.
SEPARATION AND PURIFICATION TECHNOLOGY
(2022)
Article
Engineering, Multidisciplinary
Anthony J. Favaloro, Benjamin R. Denos, Drew E. Sommer, Rebecca A. Cutting, Johnathan E. Goodsell
Summary: Continuous carbon fiber prepreg, slit and cut into rectangular platelets, is a valuable material for net shape molding in the aerospace and automotive industries. Simulation tools are required to predict the fiber orientation state during manufacturing, and a validation method is proposed to determine confidence bounds on the measured orientation state.
COMPOSITES PART B-ENGINEERING
(2021)
Review
Materials Science, Multidisciplinary
Zhao-jun Xu, Zhong Zheng, Xiao-qiang Gao
Summary: Research has been conducted on operation optimization of steel production, however, current techniques are often found to be independent and unsystematic. Future work should focus on integrating multiple technologies and disciplines to optimize the steel manufacturing process.
INTERNATIONAL JOURNAL OF MINERALS METALLURGY AND MATERIALS
(2021)
Article
Energy & Fuels
Weipeng Liu, Chunhui Zhao, Tao Peng, Zhongwei Zhang, Anping Wan
Summary: This paper proposes a simulation-assisted approach to integrate optimize three primary processes in aluminum casting to reduce energy consumption and comprehensive cost. The approach was applied to two die-casting factories and proved to have advantages in energy conservation and emission reduction.
Article
Green & Sustainable Science & Technology
Omar Aboelazayem, Mamdouh Gadalla, Ibrahim Alhajri, Basudeb Saha
Summary: This study investigates the conceptual design of integrating supercritical biodiesel production process with ORC, and provides energy and techno-economic comparative study for three different scenarios. The integration of biodiesel process with ORC resulted in electric power generation that satisfies the process electric requirement and provides excess power.
Article
Engineering, Manufacturing
Faruk Cavdar, Erdogan Kanca
Summary: This article emphasizes the importance of roll pass design in the hot rolling process and presents an optimized solution search strategy based on a desirability function. By utilizing response surfaces and the proposed strategy, it is possible to reduce shaping energy and minimize turning moments and radial forces on rolls during the rough rolling process.
JOURNAL OF MANUFACTURING SCIENCE AND ENGINEERING-TRANSACTIONS OF THE ASME
(2023)
Article
Engineering, Environmental
Hafsa Ishaq, Usman Ali, Farooq Sher, Muhammad Anus, Muahmmad Imran
Summary: Carbon-based fuels play a major role in global energy demand, but contribute to global warming. The need for cost-effective carbon sequestration schemes is emphasized due to increasing energy demand and climate change. Amine-based CO2 scrubbing is widely used for its high selectivity and pure CO2 production, although challenges in energy consumption and capture ratio exist. Investigating alternatives such as ammonia and developing new solvents, optimizing parameters, or process modifications can help reduce energy penalties.
JOURNAL OF ENVIRONMENTAL CHEMICAL ENGINEERING
(2021)
Article
Computer Science, Interdisciplinary Applications
Abdul Aziz Shaikh, Ahmed AlNouss, Tareq Al-Ansari
Summary: This study utilizes Pinch Analysis technique to optimize the hot section of the LNG process by integrating the Tri-Ethylene Glycol Dehydration and Condensate stabilization units, resulting in energy savings and carbon emissions reduction.
COMPUTERS & CHEMICAL ENGINEERING
(2022)
Article
Computer Science, Interdisciplinary Applications
Jianbo Wang, Xing Cao
Summary: This study conducted simulation experiments to demonstrate the evolution process of the innovation network in advanced equipment manufacturing, revealing different changes in clustering coefficient and average distance at different stages, but eventually stabilizing.
Review
Materials Science, Multidisciplinary
Mohamad Bayat, Olga Zinovieva, Federico Ferrari, Can Ayas, Matthijs Langelaar, Jon Spangenberg, Roozbeh Salajeghe, Konstantinos Poulios, Sankhya Mohanty, Ole Sigmund, Jesper Hattel
Summary: Additive manufacturing (AM) and topology optimization (TO) are a good combination, but TO-designed complex geometries often have process-related defects. Advanced AM process simulations can predict these defects, making it possible to consider TO and process simulations as one holistic computational design tool. This paper provides a thorough overview of this concept applied in AM.
PROGRESS IN MATERIALS SCIENCE
(2023)
Article
Computer Science, Interdisciplinary Applications
Ludian Komini, Matthijs Langelaar, Benedikt Kriegesmann
Summary: This paper presents a method to consider uncertainties in the distortion prediction of additive manufacturing processes within robust topology optimization. The method aims to generate a robust design to obtain parts exhibiting reduced distortion regardless of uncertainties in distortion prediction.
ADVANCES IN ENGINEERING SOFTWARE
(2023)
Article
Engineering, Multidisciplinary
Longfei Zhou, Lin Zhang, Yajun Fang
Summary: Manufacturing enterprises face challenges in maintaining efficient production processes due to random customer requirements. Developing appropriate production-triggering strategies is crucial for competitiveness. Research shows that hybrid-triggered and time-triggered strategies can result in faster order delivery and lower inventory costs with the right period setting.
Article
Engineering, Multidisciplinary
Dong Fu, Yan Chen, Chenn Q. Zhou
APPLIED MATHEMATICAL MODELLING
(2015)
Article
Metallurgy & Metallurgical Engineering
P. Y. Shi, D. Fu, P. Zhou, C. Q. Zhou
IRONMAKING & STEELMAKING
(2015)
Article
Thermodynamics
Guangwu Tang, Bin Wu, Kurt Johnson, Albert Kirk, Dong Fu, Chenn Q. Zhou
APPLIED THERMAL ENGINEERING
(2016)
Article
Thermodynamics
Dong Fu, Guangwu Tang, Yongfu Zhao, John D'Alessio, Chenn Q. Zhou
INTERNATIONAL JOURNAL OF HEAT AND MASS TRANSFER
(2016)
Article
Metallurgy & Metallurgical Engineering
P. Y. Shi, P. Zhou, D. Fu, C. Q. Zhou
IRONMAKING & STEELMAKING
(2016)
Article
Materials Science, Multidisciplinary
Chenn Zhou, Guangwu Tang, Jichao Wang, Dong Fu, Tyamo Okosun, Armin Silaen, Bin Wu
Article
Metallurgy & Metallurgical Engineering
Ping Zhou, Peng-yu Shi, Yan-po Song, Kai-le Tang, Dong Fu, Chenn Q. Zhou
JOURNAL OF IRON AND STEEL RESEARCH INTERNATIONAL
(2016)
Article
Materials Science, Multidisciplinary
Dong Fu, Guangwu Tang, Yongfu Zhao, John D'Alessio, Chenn Q. Zhou
Article
Engineering, Chemical
Guangwu Tang, Armin Silaen, Bin Wu, Dong Fu, Dwight Agnello-Dean, Joseph Wilson, Qingjun Meng, Samir Khanna, Chenn Q. Zhou
Article
Thermodynamics
Dong Fu, Yan Chen, Yongfu Zhao, John D'Alessio, Kyle J. Ferron, Chenn Q. Zhou
APPLIED THERMAL ENGINEERING
(2014)
Article
Metallurgy & Metallurgical Engineering
Yongfu Zhao, Dong Fu, Louis W. Lherbier, Yan Chen, Chenn Q. Zhou, John G. Grindey
STEEL RESEARCH INTERNATIONAL
(2014)
Article
Thermodynamics
Lian Ning, Dong Fu, Chenn Q. Zhou, Jiemin Zhou
JOURNAL OF THERMAL SCIENCE AND ENGINEERING APPLICATIONS
(2015)
Article
Thermodynamics
Dong Fu, Chenn Q. Zhou, Yan Chen
JOURNAL OF THERMAL SCIENCE AND ENGINEERING APPLICATIONS
(2014)
Article
Thermodynamics
Guangwu Tang, Armin K. Silaen, Bin Wu, Dong Fu, Dwight Agnello-Dean, Joseph Wilson, Qingjun Meng, Samir Khanna, Chenn Q. Zhou
APPLIED THERMAL ENGINEERING
(2017)
