A knowledge based system for the specification of manufacturing tolerances

Manivannan, S.; Lehtihet, Amine; Egbelu, Pius J.

doi:10.1016/0278-6125(89)90033-2

Cited by 22 publications

(4 citation statements)

References 2 publications

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“…Janakiram et al [5] developed an expert system for the selection of the optimum manufacturing process and tolerances based on the accumulated processing cost and the assembly functional requirements. As in [4] the method is only applicable to two cylindrical mating parts. Panchanal et al [6] propose a computer ~ded tolerance assignment procedure that automatically assigns tolerances in CAD drawings.…”

Section: Tolerance Allocation In Reverse Engineeringmentioning

confidence: 97%

“…However, most of the published work is focused on tolerance optimization using tolerance -cost optimization models. An early example of a knowledge-based system for the assignment of dimensions and tolerances according to the ISO standards for limits and fits is given in the work of Manivannan et al [4]. This rule-oriented system for computer aided tolerancing specifies the ISO fit for the manufacture of rotational mating components that is best suited for the given manufacturing conditions.…”

Section: Tolerance Allocation In Reverse Engineeringmentioning

confidence: 98%

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A Knowledge-Based System for Tolerance Allocation in Reverse Engineering

Kaisarlis

Diplaris

Sfantsikopoulos

2000

Proceedings of the 33rd International MATADOR Conference

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Tolerance assignment in mechanical engineering is a typical procedure that is mainly based on experiment and human expertise and is critical for product quality, performance and for the manufacturing cost. In reverse engineering the allocation of tolerances has still a significant impact in both manufacturing cost and performance of the part. This task is even more delicate in case that the remodeled component is to be used as a spare part expected to fit and well perform in an existing assembly. The paper presents the development of a knowledge-based computer aided system for the designation of the tolerances for parts that work in an assembly and are reconstructed through reverse engineering techniques. The proposed system can be fully integrated in a PC environment and its effectiveness is illustrated in a case study.

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Section: Tolerance Allocation In Reverse Engineeringmentioning

confidence: 97%

Section: Tolerance Allocation In Reverse Engineeringmentioning

confidence: 98%

A Knowledge-Based System for Tolerance Allocation in Reverse Engineering

Kaisarlis

Diplaris

Sfantsikopoulos

2000

Proceedings of the 33rd International MATADOR Conference

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“…A`branch and bound' algorithm is developed for optimum selection but the method lacks emphasis on the assembly' s interaction requirements. Manivannan et al (1989) used a knowledge-based speci® cation system to assign dimensions and tolerances according to the ISO standard for Limits and Fits. Although di erent types of interaction requirements (clearance, interference and transition) can be accommodated, the method is limited to two cylindrical mating parts and is not applicable for complex assemblies.…”

Section: Introductionmentioning

confidence: 99%

A complete tolerance charting system in assembly

Ngoi¹,

Ong²

1999

International Journal of Production Research

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The process of assigning tolerances in product design, more often than not, will a ect the functionality and cost of the product. An unnecessarily tight tolerance leads to higher cost while an excessively loose tolerance may lead to malfunctioning of the product. Traditionally, this important phase of tolerance allocation is done intuitively to satisfy design constraints based on the skills and experience of the designers. In most cases, the result is not optimum and modi® cation of the allocated tolerances is required. After the tolerances are allocated, the next step is to ensure that the assembly can be manufactured with the resources available. This can usually be veri® ed by performing tolerance charting for the assembly.However, if the result shows that the blueprint (B/P) tolerances speci® ed are too tight, the entire process of tolerance allocation and tolerance charting has to be repeated. This paper presents an e cient method of integrating the process of allocating optimum B/P tolerances in product design with the process of tolerance charting in process planning. This method ensures that the assembly is manufactured with optimum working dimensions and tolerances and yet satis® es all the assembly requirements. Two models are constructed. One based on process sequence and another based on the relationship between each component. Using the models coupled with unique algorithms, sets of linear equations are formulated based on the design constraints and assembly requirements. With another set of equations derived in terms of the process capabilities, the optimum B/P tolerances, working dimensions and tolerances can be determined by solving the equations.

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“…The typical architecture of a KBS consists of a knowledge base, which contains a collection of information in each field, and an inference engine, which deduces insights from the information captured/encoded in the knowledge base. Depending on the KBS problem-solving method/approach, it can be referred as a rule-based reasoning (RBS) system that encodes expert knowledge as rules, or a case-based reasoning (CBS) system that substitutes cases for rules [230][231][232].…”

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confidence: 99%

Study of Augmented Reality Based Manufacturing for Further Integration of Quality Control 4.0: A Systematic Literature Review

Albajez

Santolaria

et al. 2022

Applied Sciences

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Augmented Reality (AR) has gradually become a mainstream technology enabling Industry 4.0 and its maturity has also grown over time. AR has been applied to support different processes on the shop-floor level, such as assembly, maintenance, etc. As various processes in manufacturing require high quality and near-zero error rates to ensure the demands and safety of end-users, AR can also equip operators with immersive interfaces to enhance productivity, accuracy and autonomy in the quality sector. However, there is currently no systematic review paper about AR technology enhancing the quality sector. The purpose of this paper is to conduct a systematic literature review (SLR) to conclude about the emerging interest in using AR as an assisting technology for the quality sector in an industry 4.0 context. Five research questions (RQs), with a set of selection criteria, are predefined to support the objectives of this SLR. In addition, different research databases are used for the paper identification phase following the Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA) methodology to find the answers for the predefined RQs. It is found that, in spite of staying behind the assembly and maintenance sector in terms of AR-based solutions, there is a tendency towards interest in developing and implementing AR-assisted quality applications. There are three main categories of current AR-based solutions for quality sector, which are AR-based apps as a virtual Lean tool, AR-assisted metrology and AR-based solutions for in-line quality control. In this SLR, an AR architecture layer framework has been improved to classify articles into different layers which are finally integrated into a systematic design and development methodology for the development of long-term AR-based solutions for the quality sector in the future.

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A knowledge based system for the specification of manufacturing tolerances

Cited by 22 publications

References 2 publications

A Knowledge-Based System for Tolerance Allocation in Reverse Engineering

A Knowledge-Based System for Tolerance Allocation in Reverse Engineering

A complete tolerance charting system in assembly

Study of Augmented Reality Based Manufacturing for Further Integration of Quality Control 4.0: A Systematic Literature Review

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