Artificial intelligence framework for MSME sectors with focus on design and manufacturing industries

2022 ◽  
Author(s):  
Paawan Sharma ◽  
Jigarkumar Shah ◽  
Reema Patel
Keyword(s):  
Artificial Intelligence ◽  
Manufacturing Industries ◽  
Design And Manufacturing

scholarly journals Process Capability Database Usage in Industry: Myth vs. Reality

1999 ◽  
Author(s):  
Melissa Tata ◽  
Anna C. Thornton
Keyword(s):  
Process Capability ◽  
Manufacturing Industries ◽  
Design Management ◽  
Management Support ◽  
Manufacturing Companies ◽  
Design And Manufacturing ◽  
A Company

Abstract Process capability data (PCD) is used during design to assess manufacturability, allocate tolerances, and evaluate robustness. Process capability databases (PCDBs)1 have been developed by many design/manufacturing industries to capture their process capability and communicate it to the entire organization. While these databases are being used to monitor quality, they are not being effectively utilized by design. A survey of design and manufacturing companies was used to determine both how PCD is being used and the barriers preventing design from fully utilizing PCD. Two key barriers were identified: lack of a company-wide vision for PCD usage and poor communication between manufacturing and design. Management support, training, database population, common databases, and common indexing schemes were identified as solutions to these barriers.

scholarly journals Research Issue on Green Product Design and Manufacturing of Electronic Manufacturing Industry

2021 ◽  
Author(s):  
Monika Bhatnagar ◽  
Richa Gupta ◽  
Meena Rao ◽  
Tripti Sharma ◽  
Ajay Singh Yadav ◽  
...  
Keyword(s):  
Product Design ◽  
Manufacturing Industry ◽  
Manufacturing Industries ◽  
Green Product ◽  
Research Issue ◽  
Electronic Manufacturing ◽  
Design And Manufacturing ◽  
Electronic Manufacturing Industry ◽  
Product Manufacturing ◽  
Green Product Design

Abstract In the industrial society, the concept of green product research is becoming prevalent in many manufacturing industries. The green technology is implemented to develop an environmentally green product that brought attention to a growing technological field as it attains sustainable growth in a market. The green process includes logistics, manufacturing, and product design to reach a high level of sustainability. The utilization of green technologies in manufacturing industries reduces the major effect of industrial outcomes on environment. The product manufactured in the electronic industries is rapidly utilized by more population. This paper deals with the research issue faced during product manufacturing in electronic industries. Initially, the issues encountered during product development are air pollution, solid waste, and water pollution. The product is enriched with the characteristic features such as an increase in efficiency, reduction in toxic content, and must be eco-friendly. The developed green product should satisfy environmental standards. Environmental Conscious Manufacturing (ECM) accountability to satisfy the government rules and regulations for product development in the manufacturing industry and also deals with the customer’s expectation. The eco-friendly product includes eco-design, recycling, clean production, low cost, and reclamation of products. The eco-design is responsible for improving the environmental outcomes and also reliable for a reduction in long-term cost. The green product design and manufacturing focus mainly on energy conservation and the development of a product with less wastage. The research on green product manufacturing is mainly to save the environment by reducing carbon foot print and to make the product in less cost. The main consequence faced during the development of the green product is destroying the environment by utilizing natural resources. Thus, in this paper, the issues faced during the green product design and manufacturing of the electronic manufacturing industry are discussed.

Information Extraction Method for a STEP-Compliant NC Program

2010 ◽  
Vol 139-141 ◽  
pp. 1169-1173 ◽  
Author(s):  
Guo Qiang Yuan ◽  
Cheng Rui Zhang ◽  
Yuan Cai Zhang ◽  
Ri Liang Liu
Keyword(s):  
Data Model ◽  
Tool Path ◽  
General Information ◽  
Manufacturing Industries ◽  
Planning Tool ◽  
Software Module ◽  
Nc Program ◽  
Design And Manufacturing ◽  
Feature Information ◽  
Seamless Connection

STEP-NC provides a way for intelligent NC manufacturing and seamless connection of the computer systems in design and manufacturing industries. It also makes it a must for a new breed of CNC machines to interface directly with the new part programs in STEP format (ISO 10303-21). In this paper, the data model and structure of part programs based on STEP-NC (STEP AP 238) are overviewed. Available tools are discussed and a method of extracting the manufacturing information from STEP-NC physical files is presented, and corresponding software module are developed in ST-DeveloperTM environment. With the aid of the STIXTM and ROSETM C++ library, the general information, feature information, technological information are extracted from the STEP-NC file and organized in a tree structure according to the hierarchy of the data model, which is essential to further usage of the manufacturing data, such as process planning, tool-path generating etc.

scholarly journals Recent Advances of Artificial Intelligence in Manufacturing Industrial Sectors: A Review

2021 ◽  
Author(s):  
Sung Wook Kim ◽  
Jun Ho Kong ◽  
Sang Won Lee ◽  
Seungchul Lee
Keyword(s):  
Artificial Intelligence ◽  
Public Interest ◽  
Industry 4.0 ◽  
Manufacturing Industries ◽  
Human Beings ◽  
Precision Engineering ◽  
Daily Lives ◽  
Industrial Sectors ◽  
Recent Advances ◽  
Traditional Manufacturing

AbstractThe recent advances in artificial intelligence have already begun to penetrate our daily lives. Even though the development is still in its infancy, it has been shown that it can outperform human beings even in terms of intelligence (e.g., AlphaGo by DeepMind), implying a massive potential for its broader application in various industrial sectors. In particular, the growing public interest in industry 4.0, which focuses on revolutionizing the traditional manufacturing scene, has stimulated a deeper investigation of its possible applications in the related industries. Since it has several limitations that hinder its direct usage, research on the convergence of artificial intelligence with other engineering fields, including precision engineering and manufacturing, is ongoing. This overview looks to summarize some of the important achievements made using artificial intelligence in some of the most influential and lucrative manufacturing industries in hopes of transforming the manufacturing sites.

scholarly journals Design and manufacturing of double sided automatic chamfering machine

2019 ◽  
Vol 9 (03) ◽  
Author(s):  
Piyush P. Kumar ◽  
Akash M. Potdukhe ◽  
Mahesh V. Bitode ◽  
Amit B. Belvekar
Keyword(s):  
Industrial Applications ◽  
Manufacturing Industries ◽  
Mechanical Power ◽  
Small Scale ◽  
Automotive Components ◽  
Round Bar ◽  
Design And Manufacturing ◽  
Major Operation ◽  
Automotive Parts

In this era of automation where it is broadly defined as replacement of manual effort by mechanical power in all applications of manufacturing. Chamfering is one of the major operation in manufacturing of automotive parts. Many small scale manufacturing industries performs this operation manually as per the requirement of customer. There are many industrial applications where round bar or square bars are required to be chamfered on different machines to make automotive components. To produce such mass productions manually consumes more time as well as man power. In this paper we have designed and developed automated double sided chamfering machine.

Research on the Subdivision Algorithm about the Approximate Development of the Undevelopable Surfaces

2014 ◽  
Vol 651-653 ◽  
pp. 2418-2423 ◽  
Author(s):  
Fen Jiang ◽  
Zhen Hua Luo
Keyword(s):  
Manufacturing Industries ◽  
Subdivision Surfaces ◽  
Subdivision Surface ◽  
Numerical Examples ◽  
Industrial Manufacturing ◽  
Cam Design ◽  
Design And Manufacturing ◽  
Basic Parameters ◽  
Subdivision Algorithm ◽  
Planar Materials

Modern industrial manufacturing contains different kinds of surface modeling, which is processed by planar materials. For the principle of the most efficient materials using, how to optimize subdivision undevelopable surface before development becomes an important topic in CAM design and manufacturing industries. The paper transforms the basic parameters of surface before subdivision, and gives the standards of subdivision surfaces. We proved the feasibility and the existence of triangle subdivision algorithm. By introducing double parameters MÖbius transformation , the subdivision surface is more uniform. At last, numerical examples prove that the algorithm about the approximate development of the undevelopable surfaces is effective and practical.

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