Towards low-carbon product architecture using structural optimization for lightweight

He, Bin; Tang, Wen; Huang, Shan; Hou, Shuangchao; Cai, Huaqiang

doi:10.1007/s00170-015-7676-z

Cited by 42 publications

(20 citation statements)

References 22 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…To obtain the high-precision optimal solution of the multi-objective combinatorial optimization problem, the local optimization problem which often occurs in the previous algorithm solving process is abandoned. This research proposes a combinatorial optimization algorithm [24,38,39]. First of all, we designed an intelligent generation algorithm, which can perform preliminary intelligent screening among all feasible workstep sequence chains that meet the constraints and then combine the Adaptive Particle Swarm Optimization (APSO) [40,41] algorithm to further optimize the feasible workstep sequence chains, which aims to achieve the purpose of the optimal solution.…”

Section: Combinatorial Optimization Algorithmmentioning

confidence: 99%

Research on Blank Optimization Design Based on Low-Carbon and Low-Cost Blank Process Route Optimization Model

et al. 2021

View full text Add to dashboard Cite

The optimization of blank design is the key to the implementation of a green innovation strategy. The process of blank design determines more than 80% of resource consumption and environmental emissions during the blank processing. Unfortunately, the traditional blank design method based on function and quality is not suitable for today’s sustainable development concept. In order to solve this problem, a research method of blank design optimization based on a low-carbon and low-cost process route optimization is proposed. Aiming at the processing characteristics of complex box type blank parts, the concept of the workstep element is proposed to represent the characteristics of machining parts, a low-carbon and low-cost multi-objective optimization model is established, and relevant constraints are set up. In addition, an intelligent generation algorithm of a working step chain is proposed, and combined with a particle swarm optimization algorithm to solve the optimization model. Finally, the feasibility and practicability of the method are verified by taking the processing of the blank of an emulsion box as an example. The data comparison shows that the comprehensive performance of the low-carbon and low-cost multi-objective optimization is the best, which meets the requirements of low-carbon processing, low-cost, and sustainable production.

show abstract

Section: Combinatorial Optimization Algorithmmentioning

confidence: 99%

Research on Blank Optimization Design Based on Low-Carbon and Low-Cost Blank Process Route Optimization Model

et al. 2021

View full text Add to dashboard Cite

show abstract

“…Ding et al [9] changed the 3D topology design optimization problem to a 2D problem to optimize the layout of the stiffener plate in the bed. He et al [10] used a low carbon footprint as an important benchmark for determining the product performance.…”

Section: Introductionmentioning

confidence: 99%

Effect of Time-Varying Moving Structures on the Spatial Accuracy of Five-Axis Machine Tools

Chan

Yang

2021

Preprint

View full text Add to dashboard Cite

Machine tools are constantly in motion during machining; however, studies have not considered the effect of the dynamic and static characteristics of the machine caused by the movement of the structure over time. In this study, the time-varying moving structure in the spatial coordinate arm is analyzed to improve the spatial accuracy of the motion of a five-axis machine tool in the cutting area. The objective is to design a high-speed five-axis moving-column machine tool and to perform structural analysis of spatial accuracy. We studied the static and dynamic characteristics of a five-axis machine tool, designed and improved its mechanical structure, and optimized its structural configuration. With further analysis, the entire machine structure was enhanced to improve its static and dynamic characteristics. The static and dynamic characteristics of the machine structure were found to directly affect its processing performance and the precision of the workpiece machined by the tool. Through this study, the design technology for speed, accuracy, and surface roughness of the machine tool was further improved.

show abstract

“…Similarly, Peng et al (2019) proposed a new low-carbon design method based on a multi-layer carbon footprint information model. He et al (2016) and Zhang et al (2018) integrated material selection, lightweight technology and carbon footprint calculation to reduce the carbon emission of components of mechanical products. In addition, some studies emphasize the knowledge reuse and its transfer from low-carbon conceptual design to embodiment design (Xu et al, 2013;He et al, 2017).…”

Section: Introductionmentioning

confidence: 99%

Low-carbon product conceptual design from the perspectives of technical system and human use

Jiang

Zhang

et al. 2020

Journal of Cleaner Production

View full text Add to dashboard Cite

Product conceptual design plays a decisive role in carbon emission of the products. Unfortunately, the traditional design methods based on carbon footprint calculation are not suitable for the conceptual design stage, and the latest low-carbon conceptual design research mainly focus on technology development to reduce carbon emissions at the manufacturing stage and less on carbon emissions caused by the unsustainable human use. This makes low-carbon product conceptual design less effective. To address this, a low-carbon conceptual design method is proposed for improving existing products, in which an improved process of requirements elicitation and analysis is implemented firstly, and then the improvement strategies are proposed from the perspectives of technical system and human use to help establish a low-carbon function structure. The conceptual design of a boiling water dispenser is taken as a case study. As a result, 5 low-carbon design strategies and a low-carbon function structure were comprehensively obtained. Next, by calculating the energy consumption of the assumed ideal scenario, it can be found that the re-designed product can save 39.4% energy compared to the existing product in the use stage. The results showed that the proposed method is effective in the generation of low-carbon design schemes at the conceptual design stage.

show abstract

Towards low-carbon product architecture using structural optimization for lightweight

Cited by 42 publications

References 22 publications

Research on Blank Optimization Design Based on Low-Carbon and Low-Cost Blank Process Route Optimization Model

Research on Blank Optimization Design Based on Low-Carbon and Low-Cost Blank Process Route Optimization Model

Effect of Time-Varying Moving Structures on the Spatial Accuracy of Five-Axis Machine Tools

Low-carbon product conceptual design from the perspectives of technical system and human use

Contact Info

Product

Resources

About