A Multistage Approach to the Selective Assembly of Components Without Dimensional Distribution Assumptions

Aderiani, Abolfazl Rezaei; Wärmefjord, Kristina; Söderberg, Rikard

doi:10.1115/1.4039767

Cited by 24 publications

(9 citation statements)

References 22 publications

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“…is is explained using equation (11). e total number of assemblies made is calculated by considering the number of assemblies made when mating the components available in all the positions of the corresponding group, and it is determined using equation (12). e combination of bins, cb ik, is considered bees where k takes the values from 1 to lb.…”

Section: Problem Definition and Methodologymentioning

confidence: 99%

“…e appreciable percentage of savings in the manufacturing cost was obtained through GA. Manickam and De [11] proposed a new method to find the combinations of best groups of components for reducing manufacturing cost using GA. Aderiani et al [12] discussed a multistage approach using GA to solve hole and shaft assembly with the objectives of minimizing the clearance variation and zero surplus parts. Hui et al [13] used a datadriven modelling approach using the combination of GA and oversampling technique to evaluate the quality of the linear axis assembly of the machine tool.…”

Section: Literature Reviewmentioning

confidence: 99%

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Minimizing Cost of Assembly of an Interrelated Dimensional Chain Product Using ABC Algorithm

Sivakumar

Nagarajan

Kandasamy

et al. 2021

Mathematical Problems in Engineering

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Selective assembly is a method where components made with wider tolerance are grouped into a number of bins. Based on the best combination of the bin, the corresponding group components are randomly selected and matched together to make an assembly. Existing techniques focused on equal group number partitioning of components, equal probability, equal group width, and equal area methods to minimize either clearance variation or surplus parts using different optimization techniques. Mostly, simple assemblies with two or three components are worked by various authors in the literature without considering their original dimension by considering only their component’s tolerance. In the present work, components are classified into different unequal group numbers based on their tolerance values. The interrelated dimensional assemblies are made in a single stage by matching the parts based on the best bin combination obtained by the artificial bee colony algorithm. A simple linear assembly and a three-armed knuckle joint assembly are considered examples of problems to demonstrate the effectiveness of the proposed method by minimizing the manufacturing cost.

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Section: Problem Definition and Methodologymentioning

confidence: 99%

Section: Literature Reviewmentioning

confidence: 99%

Minimizing Cost of Assembly of an Interrelated Dimensional Chain Product Using ABC Algorithm

Sivakumar

Nagarajan

Kandasamy

et al. 2021

Mathematical Problems in Engineering

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show abstract

“…Selective assembly is a means of obtaining higher quality product assemblies by using relatively low-quality components (Rezaei Aderiani, Wärmefjord, and Söderberg 2018). Therefore, quality improvement is the main advantage of implementing this technique.…”

Section: Selective Assemblymentioning

confidence: 99%

Developing a selective assembly technique for sheet metal assemblies

Aderiani

Wärmefjord

Söderberg

et al. 2019

International Journal of Production Research

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Applying the concept of Digital Twin in production processes supports the manufacturing of products of optimal geometry quality. This concept can be further supported by a strategy of finding the optimal combination of individual parts to maximise the geometrical quality of the final product, known as selective assembly technique. However, application of this technique has been limited to assemblies where the final dimensions are just function of the mating parts' dimensions and this is not applicable in sheet metal assemblies. This paper develops a selective assembly technique for sheet metal assemblies and investigates the effect of batch size on the improvements. The presented method utilises a variation simulation tool (Computer-Aided Tolerancing tool) and an optimisation algorithm to find the optimal combination of the mating parts. The approach presented is applied to three industrial cases of sheet metal assemblies. The results show that using this technique leads to a considerable reduction of the final geometrical variation and mean deviation for these kinds of assemblies. Moreover, increasing the batch size reduces the amount of achievable improvement in variation but increases the amount of achievable improvement in the mean deviation.

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“…Tolerance is an essential part of design and manufacturing. In real production environment, manufacturing part cannot be produced to completely conform to design intent [1][2][3][4][5][6]. Tolerance, permissible limit of variation, has been naturally introduced to address this with an aim to safeguard product functional requirement and to meet parts' interchangeable needs.…”

Section: Introductionmentioning

confidence: 99%

“…An example of KPC is dimension of the target part 2. For example, fixture locators' position errors are the dimensional control characteristics for product positioning, and thus are the determining factors in achieving the required dimensional accuracy.…”

mentioning

confidence: 99%

A Framework for Tolerance Modeling Based on Parametric Space Envelope

Luo

Franciosa

et al. 2020

Journal of Manufacturing Science and Engineering

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Geometric dimensioning and tolerancing (GD&T) tolerance standards are widely used in industries across the world. A mathematical model to formulate tolerance specifications to enable comprehensive tolerance analysis is highly desirable but difficult to build. Existing methods have limited success on this with form and profile tolerance modeling as a known challenge. In this paper, we propose a novel tolerance modeling framework and methodology based upon parametric space envelope, a purposely built variation tool constructed from base parametric curve. Under proposal, geometric variation (deviation as well as deformation) is modeled and linked to envelope boundary control points’ movement. This indirect tolerance modeling brings various benefits. It is versatile and can handle full set of tolerances specified under GD&T standards including form, profile, and runout tolerance. The proposal can deal with complex manufacturing part and is capable of providing modeling accuracy required by many applications. The proposed approach has added advantage of facilitating integration of various computer-aided systems to meet emerging industry demands on tolerancing in a new era of digital manufacturing. The proposed methodology is illustrated and verified with an industrial case example on a two-part assembly.

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A Multistage Approach to the Selective Assembly of Components Without Dimensional Distribution Assumptions

Cited by 24 publications

References 22 publications

Minimizing Cost of Assembly of an Interrelated Dimensional Chain Product Using ABC Algorithm

Minimizing Cost of Assembly of an Interrelated Dimensional Chain Product Using ABC Algorithm

Developing a selective assembly technique for sheet metal assemblies

A Framework for Tolerance Modeling Based on Parametric Space Envelope

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