The quality control method for remanufacturing assembly based on the Jacobian-torsor model

Shen, Weilei; Pang, Kai; Liu, Conghu; Ge, Maogen; Zhang, Yanru; Wang, Xiaoqiao

doi:10.1007/s00170-015-7194-z

Cited by 27 publications

(9 citation statements)

References 15 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The summaries of the differences and similarities sharpened the understanding of tolerance analysis. The unified Jacobian-torsor model [23,24] is a kinematic-based method that uses open-chain transformation matrices in robotics to transfer the local deviations into global functional requirements. It has the advantage of dealing with deformation under working conditions and tolerance interactions.…”

Section: Related Workmentioning

confidence: 99%

A Data-Driven Methodology to Improve Tolerance Allocation Using Product Usage Data

Gao

Zheng

et al. 2021

Journal of Mechanical Design

View full text Add to dashboard Cite

Industry 4.0 puts forward new requirements for the sustainable service of products. With the recent advances in measurement technologies, global and local deformations in inaccessible areas can be monitored. Product usage data such as geometric deviation, position deviation and angular deviation that lead to product functional performance degradation can be continuously collected during the product usage stage. These technologies provide opportunities to improve tolerance design by optimizing tolerance allocation using product usage data. The challenge lies in how to assess these deviations for identifying relevant field factors and reallocate the tolerance value. In this paper, a data-driven methodology based on the deviation for tolerance analysis is proposed to optimize the tolerance allocation. A feature graph of a mechanical assembly is established based on the assembly relationship. The node representation in the feature graph is defined based on the unified Jacobian-torsor model and the node label is calculated by a synthetic evaluation method. A novel algorithm based on the graph neural networks (GNNs) is proposed to investigate hidden relations between nodes in the feature graph and calculate labels of all nodes. A modification necessity index (MNI) is defined for each tolerance between two nodes based on their labels. A deviation difference matrix is constructed to calculate the MNI of each tolerance for identifying the to-be-modified tolerance value with high priorities for product improvement. The effectiveness of the proposed methodology is demonstrated through a case study for the optimal tolerance allocation of a press machine.

show abstract

Section: Related Workmentioning

confidence: 99%

A Data-Driven Methodology to Improve Tolerance Allocation Using Product Usage Data

Gao

Zheng

et al. 2021

Journal of Mechanical Design

View full text Add to dashboard Cite

show abstract

“…The reassembly stages involve tools for the reassembly of the components into remanufactured products. In a study by Shen et al [110], a new quality control assembly method based on the Jacobian-Torsor model for remanufacturing assembly was used to produce and analyze six different batches of remanufactured engines. This new standard optimized the traditional one and proved to be a suitable engine assembly.…”

Section: Reassemblymentioning

confidence: 99%

A Qualitative and Quantitative Analysis of Remanufacturing Research

et al. 2021

View full text Add to dashboard Cite

The advancements in human lifestyle result in growth in daily demands of products, and accordingly, an increased rate of manufacturing. However, the resources on the planet Earth are limited, thus depleting day-by-day. More goods also contribute to more end-of-life (EOL) dumping or even before EOL in some cases. Therefore, an interest in remanufacturing has appeared, and it offers a solution that can solve or perhaps mitigate the risks of consuming more resources and increasing waste. Remanufacturing is a procedure of bringing used products to “like-new” functional status with a matching warranty. However, due to its relative novelty in terms of research field and industry, remanufacturing is poorly understood. People often mix it with other terms such as recycling, reconditioning, or repair. Therefore, in this research, the focus is on the remanufacturing systems’ definition, relevance, main phases, case studies, and solution methods proposed by various researchers. The word ‘remanufacturing’ is clearly described in this paper by differentiating it from alternative green manufacturing initiatives. Both qualitative and quantitative analysis of literature are performed. The quantitative analysis is conducted using a bibliometric method. For quantitative analysis, a systematic approach is utilized for research papers’ selection. The qualitative analysis has been carried out by discussing different aspects of remanufacturing and how the researchers are working on its different domains and phases. The review showed that researchers focused on some phases more as compared with others. Moreover, it is also revealed from the literature that the common solutions methods applied in this domain are optimization techniques. Future research directions are also identified and presented.

show abstract

“…After analyzing the critical influencing factors of assembly quality and the uncertainty connotation of cylinder block and cover's flatness and roughness, Ge et al (2014) proposed a reassembly quality control method based on the back propagation neural network. Shen et al (2015) proposed a quality control method based on the Jacobian-torsor model for remanufacturing assembly of remanufactured engines' cylinder block and head. Liu et al (2016) proposed an assembly process method for remanufactured parts by characterizing the relationship between assembly precision and remanufactured parts with various quality grades.…”

Section: Literature Reviewmentioning

confidence: 99%

Reassembly classification selection method based on the Markov Chain

Liu

et al. 2018

Self Cite

View full text Add to dashboard Cite

Purpose As the last link of product remanufacturing, reassembly process is of great importance in increasing the utilization of remanufactured parts as well as decreasing the production cost for remanufacturing enterprises. It is a common problem that a large amount of remanufactured part/reused part which past the dimension standard have been scrapped, which have increased the production cost of remanufacturing enterprises to a large extent. With the aim to improve the utilization of remanufacturing parts with qualified quality attributes but exceed dimension, the purpose of this paper is to put forward a reassembly classification selection method based on the Markov Chain. Design/methodology/approach To begin with, a classification standard of reassembly parts is proposed. With the thinking of traditional ABC analysis, a classification management method of reassembly parts for remanufactured engine is proposed. Then, a homogeneous Markov Chain of reassembly process is built after grading the matching dimension of reassembly parts with different variety. And the reassembly parts selection model is constructed based on the Markov Chain. Besides, the reassembly classification selection model and its flow chart are proposed by combining the researches above. Finally, the assembly process of remanufactured crankshaft is adopted as a representative example for illustrating the feasibility and the effectiveness of the method proposed. Findings The reassembly classification selection method based on the Markov Chain is an effective method in improving the utilization of remanufacturing parts/reused parts. The average utilization of remanufactured crankcase has increased from 35.7 to 80.1 per cent and the average utilization of reused crankcase has increased from 4.2 to 14 per cent as shown in the representative example. Originality/value The reassembly classification selection method based on the Markov Chain is of great importance in enhancing the economic benefit for remanufacturing enterprises by improving the utilization of remanufactured parts/reused parts.

show abstract

The quality control method for remanufacturing assembly based on the Jacobian-torsor model

Cited by 27 publications

References 15 publications

A Data-Driven Methodology to Improve Tolerance Allocation Using Product Usage Data

A Data-Driven Methodology to Improve Tolerance Allocation Using Product Usage Data

A Qualitative and Quantitative Analysis of Remanufacturing Research

Reassembly classification selection method based on the Markov Chain

Contact Info

Product

Resources

About