Concept for Function Block Enabled Process Planning Towards Multi-Site Cloud Collaboration

2014 ◽  
Author(s):  
Martin Helgoson ◽  
Lihui Wang ◽  
Robin Karlsson ◽  
Mohammad Givehchi ◽  
Mikael Tedeborg
Keyword(s):  
Process Planning ◽  
Research Work ◽  
Enabling Technology ◽  
Distributed Application ◽  
Function Block ◽  
Globally Distributed ◽  
Technical Platform

In global enterprises an essential challenge is how to enable efficient sharing of knowledge, capacity, and resources in order to meet demands on speed, flexibility and adaptability. This paper highlights challenges and aspects regarding framework and technical platform for process planning that enable global multi-site collaboration. To get an industrial perspective, this topic is discussed in the context of Sandvik Coromant’s globally distributed application centers. Further on, function block technology as enabling technology to achieve flexible and adaptable process planning as a part of the framework is presented and discussed together with results from the on-going research work.

Function-Block Enabled Job Shop Planning and Control With Uncertainty

2004 ◽  
Author(s):  
Lihui Wang ◽  
Zhenkai Liu ◽  
Weiming Shen ◽  
Sherman Lang
Keyword(s):  
Process Planning ◽  
Job Shop ◽  
Function Block ◽  
Planning And Control ◽  
Planning Approach ◽  
Job Shop Operations ◽  
Batch Sizes ◽  
Distributed Process ◽  
Generate Process ◽  
And Control

The objective of this research is to develop a methodology of distributed process planning and its execution control for job shop operations. The manufacturing processes of job shop operations are rather complex, especially at shop floors where highly mixed products in small batch sizes are handled simultaneously. In addition to the fluctuating job shop operations, unpredictable events like job delay, urgent job insertion, fixture shortage, missing tool, and even machine break-down, are regularly challenging the job shop operations. Targeting the fluctuations, this research proposes a DPP (distributed process planning) approach to generate process plans that are responsive and adaptive to the changes. In this paper, a function block enabled approach is introduced. It is expected that the new approach can largely enhance the dynamism of fluctuating job shop operations.

Artificial Intelligence Based Inference Techniques for Automated Process Planning for Machined Parts

2002 ◽  
Author(s):  
Sankha Deb ◽  
Kalyan Ghosh
Keyword(s):  
Artificial Intelligence ◽  
Process Planning ◽  
Research Work ◽  
Machining Process ◽  
Process Selection ◽  
Ongoing Research ◽  
Automated Process Planning ◽  
Automated Process ◽  
Inference Techniques ◽  
Inference Methods

Many areas of research in manufacturing are increasingly turning to applications of Artificial Intelligence (AI). The problem of developing inference strategies for automated process planning in machining is one such area of successful application of AI based approaches. Given the high complexity of the process planning expertise, development of inference techniques for automated process planning is a big challenge to researchers. The traditional inference methods based on variant and generative approaches using decision trees and decision tables suffer from a number of shortcomings, which have prompted researchers to seek alternative approaches and turn to AI for developing intelligent inference techniques. In this article, we have reviewed, categorized and summarized the research on applications of AI for developing inference methods for automated process planning systems. We have described our ongoing research work on developing an intelligent inference strategy based on artificial neural networks for implementing machining process selection for rotationally symmetric parts.

The Implementation of a Feature-Based Component Representation for CAD/CAM Integration

1994 ◽  
Vol 208 (1) ◽  
pp. 71-80 ◽  
Author(s):  
K Case ◽  
J X Gao ◽  
N N Z Gindy
Keyword(s):  
Process Planning ◽  
Research Work ◽  
Boundary Representation ◽  
Design System ◽  
Assembly Planning ◽  
Ongoing Research ◽  
Manufacturing Planning ◽  
Feature Based ◽  
Feature Based Design ◽  
Component Representation

Recent research and development has the objective of increasing productivity and cost effectiveness by integrating many activities such as design, analysis, process planning, assembly planning and production planning which encompass the entire manufacturing planning and operational control aspects of a manufacturing enterprise. It has been recognized that a key to the integration lies in the determination of a representation scheme for products that can be interpreted for the various needs of these different applications. Geometric (solid) modellers were regarded by many researchers as the appropriate representation, but more recently a features approach has been proposed to enhance the capabilities of solid modellers. This paper introduces ongoing research which is aimed at the development of a feature-based design system for process planning. The system is fully integrated with a conventional boundary representation (Brep) modeller which enhances its modelling capabilities in representing, editing and validating features of components. The main aspects of the feature-based design system are described in detail, such as the feature library, feature taxonomy, feature operations, feature relationships and tolerances. The generation of a detailed data model for transmission to manufacturing planning activities is also described and demonstrated by reference to an example component. A brief indication is given of our parallel research work in using such models as the basis of process planning and process capability modelling.

Extraction of Process Parameters from a Sheet Metal Part Model

2014 ◽  
Vol 592-594 ◽  
pp. 888-893
Author(s):  
Pothala Sreenu ◽  
Ravi Kumar Gupta
Keyword(s):  
Sheet Metal ◽  
Process Planning ◽  
Process Parameters ◽  
Feature Recognition ◽  
Research Work ◽  
Computer Integrated Manufacturing ◽  
Actual Process ◽  
Sheet Metal Part ◽  
Metal Part ◽  
Part Model

Process planning in a computer integrated manufacturing (CIM) requires integrated system for design and manufacturing activities. For sheet metal part, feature recognition and feature reasoning of a product model for process planning is an essential component of CIM environment. Research work for feature recognition and reasoning has been addressed in literature, which is limited to the geometric and topological information but actual process parameters requited for manufacturing operation is still an open issue. Our research is for extraction of process parameters from a sheet metal part model which is in STEP Format. These process parameters can be used in sheet metal manufacturing to control the operations. This paper presents extraction of process parameters for a sheet metal feature from a sheet metal part model (STEP Format). This work then formulates the feature processes in terms of extracted process parameters, material properties, sheet metal dimension and feature dimension. The actual operation in real manufacturing environment is identified as extension of the proposed work. The extraction of process parameters for sheet metal operation is demonstrated with case studies.

scholarly journals A Foreword from the Editor-in-Chief

2019 ◽  
Vol 1 (2) ◽  
Author(s):  
Ali Durmus
Keyword(s):  
Material Science ◽  
Research Work ◽  
Polymeric Materials ◽  
Theoretical Research ◽  
Original Research ◽  
Metallic Materials ◽  
Academic Journal ◽  
Research Papers ◽  
Metallic Material ◽  
Technical Platform

I am very happy to announce that the Non-Metallic Material Science (NMMS) which is an open access and multidisciplinary academic journal and a technical platform bringing out original research work and covering all aspects of non-metallic materials, has started its publication journey by the Bilingual Publishing Co., in 2019. The scope of the journal is devoted to publish original experimental and theoretical research papers, reviews, short communications, and technical notes mainly in the areas of polymeric materials, composites and hybrid materials, inorganic and carbon-based materials. 

Mathematical Modeling of Manufacturing Process Plan, Optimization Analysis with Stochastic and DSM Modeling Techniques

2013 ◽  
Vol 816-817 ◽  
pp. 1174-1180 ◽  
Author(s):  
Umer Asgher ◽  
Riaz Ahmad ◽  
Shahid Ikramullah Butt
Keyword(s):  
Process Planning ◽  
Research Work ◽  
Optimization Techniques ◽  
Side Plate ◽  
Process Plan ◽  
Dependency Structure ◽  
Plan Optimization ◽  
Optimum Solution ◽  
Dependency Structure Matrix ◽  
First Job

The first job of the manufacturing workforce as they get novel drawings is to carry out the process planning. This task, once finished, usually direct both the organization and manufacturing setups. Process planning in manufacturing setup offers a specific and clear chronological path regarding how the product should be running and fabricated in a manufacturing system. In highly developed manufacturing setups, this would persuade, how the setup will be planned and laid out in grounding for the novel product. In this research work, fundamental process plan is developed for a side plate manufacturing together with all design and user requirements. Mathematically modeling is done using progressive closed loop approach. Research then searches the capabilities of optimization techniques like DSM (dependency structure matrix) and a novel stochastic search to provide the best approximate process planning solution. Finally the global optimization is analysed in both the techniques and one technique reaches at optimum solution.

Reconfiguration of Autonomous Robotics

2015 ◽  
Vol 3 (1) ◽  
pp. 41-58
Author(s):  
Yujian Fu ◽  
Steven Drager
Keyword(s):  
Natural Transformation ◽  
Formal Model ◽  
Research Work ◽  
Dynamic Reconfiguration ◽  
Dynamic Adaptation ◽  
Autonomous Robotics ◽  
Enabling Technology ◽  
Formal Approach ◽  
Heterogeneous Objects ◽  
Specification And Verification

Autonomous robotics systems (ARSs) consist of multiple heterogeneous objects and intelligent inferences that are expected to take appropriate actions even in unforeseen circumstances. Dynamic reconfiguration of ARSs is a key enabling technology and plays a major role in the future cyber-enabled battle field. This research work, focused on the development of a formal approach to the specification and verification of reconfigurability of ARSs. Two typical problems w.r.t. the dynamic adaptation and reconfiguration of ARSs were identified and studied. The first problem is how to formally represent the ARSs and describe the reconfigurable behavior precisely so that the ARSs can adapt to the new changes. The second problem focuses on how to analyze and verify the formal model of the reconfiguration and ensure the correctness of the system during reconfiguration. Considering behavior preserving in the reconfiguration model, a net reconfigurations based on the natural transformation is introduced.

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