Automatic Recognition of Internal Features of Axisymmetric Parts from 2-D Images

Seeram, Srinivasa Rao; Ali, Abid; Karimulla, Syed

doi:10.17485/ijst/2016/v9i44/90267

Cited by 4 publications

(2 citation statements)

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“…Much research has dealt in their CAPP systems only with exterior turning and neglected interior turning despite its need for complete machining of parts [10,11,20,24,25]. the algorithms used to classify a machining entity as an interior entity (depression) are few in number and are the basis of rules [26,27,28], image processing [29], ridge orientation [21 ] and the concavity of the edge shared between the entity and its bearing surface [30].…”

Section: Situationmentioning

confidence: 99%

New STEP-NC compliant system to Automatic Process Planning for Turning Process

Elmesbahi¹,

Buj-Corral²,

Mesbahi

et al. 2023

Preprint

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STEP-NC is a smart standard, developed by the International Standard of Organization ISO, to substitute the ISO 6983 G-code, because, the language G-Code, normally used for Computer Numerical Control (CNC), is qualified to be not able to links CAD/CAM/CNC digital chain and ensure the exigencies of modern intelligent manufacturing in terms of tractability, interoperability, flexibility, adaptability, and extensibility. Therefore, the first objective of this paper is to design and implement a Computer Automatic Aided Process for Turning process, designated by CAPP-Turn, to ensure machining of rotational parts within this modern vision. However, to achieve CAPP-Turn system, it is compulsory to build a robust Automatic Manufacturing Features Recognition AMFR module to establish a full communication between the first two links of the digital chain which are Design CAD and Manufacturing CAM. that's why, by using a hybrid graph-rules method, the second objective of this works is focused on elaboration of a new consistent-fast algorithm that allow extraction of the machining turning entities for parts with most efficiency and complex geometry. In fact, in the literature, most of the presented AMFR systems are restricted of external turning process and cannot handle parts with complex geometry and interacting features. Moreover, the frontal turning features are almost neglected in most of these systems, despite their importance for fulfilling certain functions in mechanical systems. This article, in first, details the global architecture of the CAPP-turn and describe clearly trades between the CAD part and STEP-NC output file. In second, it explains model of the Automatic Manufacturing Feature Recognition (AMFR) system. This system encompasses: (i) a parser module that translates geometric and topological data, from STEP AP203 CAD file, into Python entity class’s objects; (ii) an AMFR that analyses the created-objects and applies predefined-rules to construct all possible turning machining (iii) a Module capable to select external features from internal, frontal features from axial and handle interacting features from the simples. Afterwards, these steps, the AMFR gives all suitable sequencings for part machining. At the end, with a goal to demonstrate the potential advantages and power of proposed the proposed AMFR, a selective part is chosen for the test. The result shows that AMFR performs well on recognizing all types of features indifferently of their types: Internal or external, axial or frontal, simple or interacting.

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Section: Situationmentioning

confidence: 99%

New STEP-NC compliant system to Automatic Process Planning for Turning Process

Elmesbahi¹,

Buj-Corral²,

Mesbahi

et al. 2023

Preprint

View full text Add to dashboard Cite

show abstract

“…As an ideal solution, many companies and organisations have designed and presented formats of international Product Data Exchange (PDE) standards to solve this issue, examples being: Drawing Exchange Format (DXF), Initial Graphic Exchange Specification (IGES), and Standard for the Exchange of Product (STEP) [13][14][15]. The benefits of these standards are not limited to handling and saving the product data, for it is also possible for them to be used in identifying the manufacturing features of the product [15,16]. In fact, the standard formats are essential requests, since manufacturing features are used for almost all CAPP systems for product description [2].…”

Section: Introductionmentioning

confidence: 99%

A survey on smart automated computer-aided process planning (ACAPP) techniques

Al-wswasi

Ivanov

Makatsoris

2018

Int J Adv Manuf Technol

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The concept of smart manufacturing has become an important issue in the manufacturing industry since the start of the twenty-first century in terms of time and production cost. In addition to high production quality, a quick response could determine the success or failure of many companies and factories. One the most effective concepts for achieving a smart manufacturing industry is the use of computer-aided process planning (CAPP) techniques. Computer-aided process planning refers to key technology that connects the computer-aided design (CAD) and the computer-aided manufacturing (CAM) processes. Researchers have used many approaches as an interface between CAD and CAPP systems. In this field of research, a lot of effort has been spent to take CAPP systems to the next level in the form of automatic computer-aided process planning (ACAPP). This is to provide complete information about the product, in a way that is automated, fast, and accurate. Moreover, automatic feature recognition (AFR) techniques are considered one of the most important tasks to create an ACAPP system. This article presents a comprehensive survey about two main aspects: the degree of automation in each required input and expected output of computer-aided process planning systems as well as the benefits and the limitations of the different automatic feature recognition techniques. The aim is to demonstrate the missing aspects in smart ACAPP generation, the limitations of current systems in recognising new features, and justifying the process of selection.

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A parameterized automatic programming solution for composite grinding based on digital image processing

Shen

Zhao

et al. 2020

Int J Adv Manuf Technol

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Automatic Recognition of Internal Features of Axisymmetric Parts from 2-D Images

Cited by 4 publications

References 0 publications

New STEP-NC compliant system to Automatic Process Planning for Turning Process

New STEP-NC compliant system to Automatic Process Planning for Turning Process

A survey on smart automated computer-aided process planning (ACAPP) techniques

A parameterized automatic programming solution for composite grinding based on digital image processing

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