Digital manufacturing course framework for senior aircraft manufacturing engineering undergraduates

Líu, Hao; Jin, Xia

doi:10.1002/cae.22197

Cited by 6 publications

(3 citation statements)

References 18 publications

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“…The purpose of designing this modular curriculum is to offer a streamlined educational approach that integrates TO, AM, and a variety of computer-aided tools. Notably, this approach has successfully impacted the elaboration of several course frameworks related to manufacturing engineering [28,62]. From this perspective, the five high-level phases were simultaneously decomposed into five sublevel functionalities: (a) introduction to TO, (b) geometry processing and diagnostics, (c) aerospace structural design analysis, (d) AM production, and (e) testing.…”

Section: Graduate Curriculum In Aerospace Engineeringmentioning

confidence: 99%

A hybrid CAD/CAE/CAM project‐based laboratory framework integrating topology optimization and laser powder bed fusion for engineering education

Afify,

Moubachir,

Guennoun

et al. 2024

Comp Applic In Engineering

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In the era of Industry 4.0, laser‐based additive manufacturing (LBAM) has gained substantial momentum in the production of complex lightweight structures in several domains such as aerospace, civil, and biomedical engineering. The increasing demand for consistent and precise manufacturing processes has urged the manufacturing industry to consider the coupling of topology optimization (TO) and laser powder bed fusion (LPBF) in the design of sophisticatedly novel topologies that are unattainable through traditional processes. Notably, this union has demonstrated a highly efficient and productive capability toward the manufacturing industry. In line with this accelerated pace, engineering programs within universities exert significant effort to revise and update their engineering curriculum design to incorporate emerging manufacturing technologies providing students with skills that are aligned with the actual industrial context. In this article, a computer‐aided design (CAD)/computer‐aided engineering (CAE)/computer‐aided manufacturing (CAM) project‐based laboratory framework is proposed combining TO and LPBF exploiting a simulation‐based environment integrating CAD, CAE, and CAM. The structure of the proposed CAD/CAE/CAM design methodology is revisited to discern the added value of the newly developed framework and its particularity in assisting aerospace engineering students to meet industrial expectations. A new CAD/CAE/CAM project‐based laboratory framework has been developed integrating TO and LPBF using advanced engineering tools within the aerospace engineering education.

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Section: Graduate Curriculum In Aerospace Engineeringmentioning

confidence: 99%

A hybrid CAD/CAE/CAM project‐based laboratory framework integrating topology optimization and laser powder bed fusion for engineering education

Afify,

Moubachir,

Guennoun

et al. 2024

Comp Applic In Engineering

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show abstract

“…Considering the characteristics of DTMSs, the main challenge faced by the construction of NSGA-II is multi-objective optimization problem [16]. In the construction of the NSGA-II, the data-driven characteristics of the DTMS and its parallel processing ability in complex manufacturing processes are fully utilized.…”

Section: Construction and Improvement Of Nsga-ii For Digital Twin Man...mentioning

confidence: 99%

Optimization Method for Digital Twin Manufacturing System Based on NSGA-II

Ding,

2024

IJACSA

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In the wave of industrial modernization, a concept that comprehensively covers the product lifecycle has been proposed, namely the digital twin manufacturing system. The digital twin manufacturing system can conduct three-dimensional simulation of the workshop, thereby achieving dynamic scheduling and energy efficiency optimization of the workshop. The optimization of digital twin manufacturing systems has become a focus of research. In order to reduce power consumption and production time in manufacturing workshops, the study adopted a non-dominated sorting genetic algorithm to improve its elitist retention strategy for the problem of easily falling into local optima. On the ground of the idea of multi-objective optimization, the optimization was carried out with the production time and power consumption of the manufacturing industry as the objectives. The experiment showcased that the improved algorithm outperforms the multi-objective optimization algorithm on the ground of decomposition and the evolutionary algorithm on the ground of Pareto dominance. Compared to the two comparison algorithms, the production time optimization effect and power consumption optimization effect of different numbers of devices were 11.12%-21.37% and 2.14%-6.89% higher, respectively. The optimization time of the improved algorithm was 713.5 seconds, that was reduced by 173.8 seconds and 179.8 seconds compared to the other two algorithms, respectively. The total power consumption of the improved optimization model was 2883.7kWs, which was reduced by 32.0kW*s and 45.5kW*s compared to the other two algorithms, respectively. This study proposed a new multi-objective optimization algorithm for the current digital twin manufacturing industry. This algorithm effectively reduces production time and power consumption, and has important guiding significance for manufacturing system optimization in actual production environments.

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“…CAD simulation tools have various affordances for learning, such as tools to investigate and understand system behavior (e.g., [38]), run experiments to test theories or prototypes (e.g., [35]), and more generally to model, evaluate, and revise solutions to solve engineering problems (e.g., [10]). For example, Liu and Jin describe how integrating CAD and related technologies into digital manufacturing that enabled students to design and test aircraft designs course resulted in enhanced student interest and learning in aircraft manufacturing topics [34]. Other affordances for learning include being able to visualize dynamic or nonobservable phenomena [4] or mathematical relationships [59].…”

Section: Introductionmentioning

confidence: 99%

Exploring experienced designers' strategies in a CAD learning environment

McAlister

Bywater

Chiu

2021

Comput Appl Eng Educ

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Computer‐aided design (CAD) simulation environments offer opportunities for students to evaluate, redesign, and visualize engineering design solutions quickly and get feedback. However, the use of CAD simulation tools in precollege settings is relatively rare. This study explores design strategies used by experienced designers in Energy3D, a CAD simulation environment designed for learning settings, to provide insight into supporting students' use of CAD simulation environments in precollege settings. Five designers engaged in a think‐aloud of a design challenge used with precollege students. Video and log data were collected and analyzed. Emergent themes that emerged across designers included problem definition, problem decomposition, and systematic but not tightly controlled exploration. We discuss the implications for designing instruction with CAD simulations in precollege settings.

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Digital manufacturing course framework for senior aircraft manufacturing engineering undergraduates

Cited by 6 publications

References 18 publications

A hybrid CAD/CAE/CAM project‐based laboratory framework integrating topology optimization and laser powder bed fusion for engineering education

A hybrid CAD/CAE/CAM project‐based laboratory framework integrating topology optimization and laser powder bed fusion for engineering education

Optimization Method for Digital Twin Manufacturing System Based on NSGA-II

Exploring experienced designers' strategies in a CAD learning environment

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