Sheet metal cutting and piercing operations planning and tools configuration by an expert system

Giannakakis, Titos; Vosniakos, George–Christopher

doi:10.1007/s00170-006-0873-z

Cited by 19 publications

(5 citation statements)

References 12 publications

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“…The most popular methods are rule-based system and object-oriented technique. First, rule-based systems [19]- [26] use IF-THEN clauses with logical combinations to represent their knowledge base using logic programming languages such as LISP and Prolog. The advantage of the methods is that IF-THEN clauses are convenient to model the functionalities for manufacturability analysis.…”

Section: Traditional Manufacturability Analysis and Its Limitationmentioning

confidence: 99%

Extraction of Formal Manufacturing Rules from Unstructured English Text

Kang

Patil

Rangarajan

et al. 2021

Computer-Aided Design

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Semantics-based approaches-founded on the idea of explicitly encoding meaning separately from the data or the application code-are being applied to manufacturing, for example, to enable early manufacturability feedback. These approaches rely on formal, i.e., computer-interpretable, knowledge and rules along with the context or semantics. On the other hand, manufacturing knowledge has been maintained primarily in the form of unstructured English text.It is considered impractical for engineers to author accurate, formal, and structured manufacturing rules. Previous efforts on extracting semantics from unstructured text in manufacturing have focused exclusively on basic concept names and hierarchies. In this context, this dissertation focuses on the development of a semantics-based framework for acquiring more complex manufacturing knowledge, primarily rules, in a formal form, from unstructured English text such as those written in manufacturing handbooks. This dissertation includes the following specific research tasks. First, it studies the problem in manufacturing domain, proposes the formal rule extraction framework, and demonstrates its feasibility. Second, it extends the framework to complement standard Natural Language Processing (NLP) techniques with manufacturing domain knowledge to resolve ambiguities, called as domainspecific ambiguities, that are due to manufacturing-specific meanings implicit in the English text. Finally, this dissertation extends the framework to identify the cases that need input text validation, and provide the relevant feedback to the user to modify the input text for the extraction of correct rules.

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Section: Traditional Manufacturability Analysis and Its Limitationmentioning

confidence: 99%

Extraction of Formal Manufacturing Rules from Unstructured English Text

Kang

Patil

Rangarajan

et al. 2021

Computer-Aided Design

View full text Add to dashboard Cite

show abstract

“…(2) Nesting problem of the part geometrical shapes in the steel sheets (Nehal et al, 2008) (3) Process selection problems (Wang & Xie, 2005) (4) Tool change and setup problem with wearing parts (Giannakakis & Vosniakos, 2008) (5) Flow shop scheduling problem (Akturka et al, 2007) Several quantitative analytical approaches have been presented to solve these problems related to production planning and control. From production planning and control point of view, the proposed system needs to be able to handle typical situations in the environment.…”

Section: Sheet Metal Manufacturing Contextmentioning

confidence: 99%

Cloud manufacturing – Scheduling as a service for sheet metal manufacturing

Helo

Phuong

Hao

2019

Computers & Operations Research

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Cloud manufacturing refers to a new concept of using centralized cloud computing for manufacturing information systems to support distributed and dynamic collaborative manufacturing environment. The core of cloud manufacturing is to provide service to geographically distributed manufacturers centralized services. This paper introduces a cloud based production scheduling system for sheet metal manufacturing and discusses the requirements of scheduling as a service. A cloud-based genetic algorithm based scheduling application has been developed to serve distributed manufacturing. The characteristics of the prototype system are described and performance estimates are tested. The solution shows how scheduling as a service can be built as part of connected smart machinery and provide a generic platform for varying uses.

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“…Giannakakis and Vosniakos described a KBS to process planning, finishing operation, die and press select, and tool selection. They used user-system interaction for input data, and their system was limited to cutting and piercing operation [17]. Moghaddam et al developed a system to determine sequence planning for stamping part by three classification rules and five fuzzy rules.…”

Section: Related Workmentioning

confidence: 99%

Development of a new method to automatic nesting and piloting system design for progressive die

Moghaddam

Farsi

Anoushe

2014

Int J Adv Manuf Technol

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Over the last few decades, sheet metal parts have had a number of applications in the industry. The most important and most used type of the dies to production these parts is progressive dies. Computer-aided design of these dies consists of a considerable number of sections. The two most important types of these sections are nesting and piloting. Finding the best nesting plays an important role in the final cost of production and for an accurate strip positioning, the appropriate piloting system is required. In this paper, a new method for curve recognition by dividing part's element into component points is presented for finding the best nesting and piloting state. Curve recognition data and the algorithms for finding the best nesting and piloting system were obtained just by using algebraic equations. This method leads to a decrease in the time of design. The best nesting for all parts that includes line and circular arc will be obtained with the high precision. The semi-direct and indirect pilot hole centers and its diameter will be obtained by defining four matrixes. This system is written in visual basic programming language in the SOLIDWORKS 2010 software. Finally, to compare the system's results to similar system, the nesting and piloting systems for the number of samples are analyzed.

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Sheet metal cutting and piercing operations planning and tools configuration by an expert system

Cited by 19 publications

References 12 publications

Extraction of Formal Manufacturing Rules from Unstructured English Text

Extraction of Formal Manufacturing Rules from Unstructured English Text

Cloud manufacturing – Scheduling as a service for sheet metal manufacturing

Development of a new method to automatic nesting and piloting system design for progressive die

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