An innovative method of modeling plane geometric form errors for precision assembly

Zhang, Tingyu; Zhang, Zhijing; Jin, Xin; Ye, Xin; Zhang, Zhongqing

doi:10.1177/0954405414565140

Cited by 33 publications

(14 citation statements)

References 17 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In the multistage components assembly, much work has been done on the geometric error propagation in the assembly. 7–9 In the research of geometric tolerance representation, Desrochers and Rivière 10 proposed a matrix approach coupled to the notion of constrains for the representation of tolerance zones and the mathematical representation can be used easily for the computation of clearances and angular deviations. The method is suitable for any three-dimensional part and any type of surface.…”

Section: Introductionmentioning

confidence: 99%

A method to control the amount of unbalance propagation in precise cylindrical components assembly

Sun

Liu

et al. 2019

Proceedings of the Institution of Mechanical Engineers, Part B:

View full text Add to dashboard Cite

The article provides a novel method to control the amount of unbalance propagation in precise cylindrical components assembly, which takes the machining error, the measurement error, and the assembly error into account. The coefficient and the correction factor matrices of mass eccentric deviations are defined to analyze the amount of unbalance propagation by building the connective assembly model. The influence of the machining error, the measurement error, and the assembly error on the mass center is analyzed in the assembly. The cumulative mass eccentric deviation can be reduced stage by stage in the assembly, and the amount of unbalance of final assembly can be minimized by controlling the assembly angle of each component. The effectiveness of the proposed method is verified by the assembly of the real aero-engine using the optimal assembly strategy. Compared to the worst assembly strategy, the values of the amount of unbalance using the optimal assembly strategy are reduced by 20%, 76%, and 79% for two, three, and four components assembly, respectively. Besides, the reasonable tolerance design area for each component is obtained with the proposed method for the real aero-engine assembly with four components. The proposed method can improve the assembly accuracy of cylindrical components and can be used for assembly guidance and tolerance design, especially for the assembly of multistage precise cylindrical components.

show abstract

Section: Introductionmentioning

confidence: 99%

A method to control the amount of unbalance propagation in precise cylindrical components assembly

Sun

Liu

et al. 2019

Proceedings of the Institution of Mechanical Engineers, Part B:

View full text Add to dashboard Cite

show abstract

“…Existing assembly error evaluation methods mainly include the tolerance analysis method [ 1 , 2 , 3 , 4 , 5 ] and finite element analysis [ 6 , 7 , 8 , 9 , 10 ]. In precision assembly, surface topography errors in the parts are unavoidable and cause assembly error.…”

Section: Introductionmentioning

confidence: 99%

“…In precision assembly, surface topography errors in the parts are unavoidable and cause assembly error. Of late, research on the abovementioned methods has focused on the effect of surface topography errors on the assembly process [ 3 , 4 , 5 , 8 , 9 , 10 ]. The surface topography error of the part can be mainly divided into three types: form error, waviness, and surface roughness.…”

Section: Introductionmentioning

confidence: 99%

“…Some researchers have introduced a randomly generated form error surface into traditional 3D tolerance analysis, called the skin model [ 3 , 4 , 5 ], and have utilized this model to obtain tolerance analysis results closer to the actual assembly situation. Even in the finite element analysis of the assembly process, some researchers have used a 3D model with a randomly generated form error surface [ 8 , 9 , 10 ] to obtain assembly-error results closer to the actual assembly process, compared to an ideal surface model.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Entropy-Based Method to Evaluate Contact-Pressure Distribution for Assembly-Accuracy Stability Prediction

Chen

Jin

Shang

et al. 2019

Entropy

Self Cite

View full text Add to dashboard Cite

Assembly accuracy and accuracy stability prediction are significant research directions for improving the reliability and efficiency of precision assembly. In this study, an improved method for assembly accuracy stability prediction, based on the contact-pressure distribution entropy, is presented. By using the contact-pressure distribution as the evaluation parameter instead of the strain-energy distribution, the improved method can not only predict the assembly accuracy of precision assembly more efficiently, but also predict the stability of the assembly accuracy with variations in the ambient temperature. The contact pressure has a clearer mechanical significance than strain energy density in the assembly process, which can be used to distinguish the actual contact area from the contact surface. Hence, the improved method is more efficient and accurate than the original. This study utilizes the same case used in the original method and an additional case from the actual production process to verify the improved method. The correctness and validity of the improved method are proved by these case studies.

show abstract

“…Monte Carlo simulations are commonly used in tolerance analysis [1,2], but this method needs massive samples to obtain reliable results [3]. T. Zhang et al [4] used the principal component analysis (PCA) to extract the common features of a batch of parts and provide a statistic model of the geometric form errors, which could be applied as a guide in assembly process optimization. E. Goka et al [5] decomposed the shape model into a nominal surface plus modal vectors and calculated the assemblability of two components through mathematical optimization.…”

Section: Introductionmentioning

confidence: 99%

Posture Optimization Algorithm for Large Structure Assemblies Based on Skin Model

Zhang

Sherar

et al. 2018

Mathematical Problems in Engineering

View full text Add to dashboard Cite

Geometric deviations inevitably occur in product manufacturing and seriously affect the assembly quality and product functionality. Assembly simulations on the basis of computer-aided design (CAD) package could imitate the assembly process and thus find out the design deficiencies and detect the assemblability of the components. Although lots of researches have been done on the prediction of assembly variation considering the geometric errors, most of them only simplify the geometric variation as orientation and position deviation rather than the manufacturing deformation. However, in machinery manufacturing, even if the manufacturing defects are limited, they could propagate and accumulate through components and lead to a noncompliant assembly. Recently, many point-based models have been applied to assembly simulation; however they are mainly interested in simulating the resulting positions of the assembled parts and lack the consideration of the postprocessing after positioning. This paper enriches the complete assembly simulation process based on skin model and presents a simple and effective posture evaluation and optimization method. The studied approach includes a software algorithm applied to evaluate the contact state of the assembly parts and a mathematical model based on the particle swarm optimization to acquire the optimal assembly posture. To verify the efficiency and feasibility of the proposed method, a case study on the aircraft wing box scaling model assembly is performed.

show abstract

An innovative method of modeling plane geometric form errors for precision assembly

Cited by 33 publications

References 17 publications

A method to control the amount of unbalance propagation in precise cylindrical components assembly

A method to control the amount of unbalance propagation in precise cylindrical components assembly

Entropy-Based Method to Evaluate Contact-Pressure Distribution for Assembly-Accuracy Stability Prediction

Posture Optimization Algorithm for Large Structure Assemblies Based on Skin Model

Contact Info

Product

Resources

About