scholarly journals Dynamic Assessment of Sustainable Manufacturing Capability for CNC Machining Systems in Cloud Manufacturing

2015 ◽  
pp. 396-403
Author(s):  
Luqiong Xie ◽  
Xuemei Jiang ◽  
Wenjun Xu ◽  
Qin Wei ◽  
Ruifang Li ◽  
...  
Keyword(s):  
Dynamic Assessment ◽  
Sustainable Manufacturing ◽  
Cloud Manufacturing ◽  
Cnc Machining ◽  
Manufacturing Capability

Dynamic Manufacturing Capability Assessment of Industrial Robots Based on Feedback Information in Cloud Manufacturing

2017 ◽  
Author(s):  
Zeyu Zhang ◽  
Wenjun Xu ◽  
Quan Liu ◽  
Zude Zhou ◽  
Duc Truong Pham
Keyword(s):  
Manufacturing Industry ◽  
Dynamic Assessment ◽  
Cloud Manufacturing ◽  
Industrial Robots ◽  
Assessment Model ◽  
Advanced Technology ◽  
Distribution Model ◽  
Information Feedback ◽  
Optimal Solutions ◽  
Manufacturing Capability

With the development of information and computer network technology, cloud manufacturing has been developing rapidly, industrial robots (IRs) as a vital symbol and an advanced technology of manufacturing industry, in scheduling service, the constantly changing information data will result in the corresponding vary of the manufacturing capability. Under a fixed constraint of some capability service request, this will decrease the number of the optimal solutions and provide the inaccurate service to users. So it is important to make the manufacturing capability stable and obtain more optimal solutions to satisfy the constraint, thus the dynamic assessment of manufacturing capability based on information feedback is investigated in this paper. A set of indicators is established considering the IRs’ manufacturing capability and a new dynamic assessment model is proposed to achieve the actual data and the expected data information feedback, using the “normal distribution” model, which can correct the assessment weight. By the way, a case study is simulated in the MATLAB, which shows the reliability and reasonability of this method in evaluate the manufacturing capability in IR.

scholarly journals Dynamic Assessment of Sustainable Manufacturing Capability Based on Correlation Relationship for Industrial Cloud Robotics

2021 ◽  
Author(s):  
Sisi Tian ◽  
Xiaotong Xie ◽  
Wenjun Xu ◽  
Jiayi Liu ◽  
Xiaomei Zhang
Keyword(s):  
Dynamic Assessment ◽  
Sustainable Manufacturing ◽  
Indicator System ◽  
Assessment Model ◽  
Correlation Model ◽  
Correlation Relationship ◽  
Cloud Robotics ◽  
Manufacturing Capability ◽  
Service Correlation ◽  
Industrial Cloud

Abstract The industrial cloud robotics (ICRs) integrates distributed industrial robot resources in various places to support complex task processing for multi-resource service requirements, and manufacturing capability assessment is the key link in determining the optimal service composition to realize the value-added of ICRs resources. However, the traditional evaluation method ignores the positive and negative cooperative effects of the manufacturing capability correlation among the robot individuals on the overall manufacturing capability of the ICRs composition. In addition, the problems of excessive resource consumption and serious environmental pollution in the manufacturing industry are becoming increasingly serious. The paper proposes a dynamic assessment method of sustainable manufacturing capability for ICRs based on the correlation relationship to solve above problems. Firstly, an extensible multi-dimensional indicator system of sustainable manufacturing capability is constructed. Then, multiple composition correlation relationships among ICRs are analyzed to establish the correlation assessment model. Furthermore, a set of dynamic evaluation methods is proposed, in which the evaluation indicators raw data is processed based on the service correlation model and the traditional network analytic network process method is improved based on the data correlation model. Finally, a case study is implemented to show the reasonability and effectiveness of the proposed method in assessment of sustainable manufacturing capability for ICRs.

Modeling of Resources Capability for Manufacturing Equipments in Cloud Manufacturing

2012 ◽  
Vol 271-272 ◽  
pp. 447-451 ◽  
Author(s):  
Yuan Yuan Zhao ◽  
Quan Liu ◽  
Wen Jun Xu ◽  
Lu Gao
Keyword(s):  
Web Service ◽  
Cloud Manufacturing ◽  
Enterprise Group ◽  
Functional Capability ◽  
Manufacturing Equipment ◽  
Service Platform ◽  
Production Capability ◽  
Manufacturing Capability ◽  
Proposed Model ◽  
Functional Attribute

Being a kind of actual resources, manufacturing equipment resources (MERs) need to be virtualized and encapsulated into services. Our proposed works mainly focus on manufacturing capability of MERs that is consisted of two aspects: static functional capability and dynamic production capability, and relationship between related concepts so as to model MERs by ontology web language (OWL) that is based on semantic. In this paper, firstly, ontology based methodology within manufacture field is developed according to cloud manufacturing characters. Secondly, manufacturing capability is studied from functional attribute capability and production capability, then, the related concepts classes and relationship are analyzed, with the special properties defined to describe these classes based on semantic. Thirdly, the built in model is described by OWL (ontology web language) using protégé tool and an instance of MER is built based on the proposed model to express its manufacturing capability. Finally, this model is applied to Cloud MERs service platform, which is constructed for a given enterprise group, to provide MERs services. Moreover, Web Service is used in the platform to realize the sharing of the provided services.

Research on the Key Technology of Manufacturing Services Modeling under Cloud Manufacturing Environments

2014 ◽  
Vol 624 ◽  
pp. 687-693
Author(s):  
Pei Zhi Liu ◽  
Jun Ji ◽  
Wei Yan Chai ◽  
Xiao Chuan Zhao
Keyword(s):  
Cloud Manufacturing ◽  
Service Model ◽  
Function Model ◽  
Key Technology ◽  
Manufacturing Capability ◽  
Manufacturing Resources ◽  
Manufacturing Platform ◽  
And Function ◽  
Manufacturing Environments

To realize sharing and synergy between manufacturing resources and manufacturing capability in cloud manufacturing, the manufacturing service model is divided into function model and non-function model. Elements and description of function model is given, and function model determines manufacturing services’ combination planning. Also the composition of non-function model and each part’s weight is presented, and non-function model is the basis to evaluate the priority of manufacturing services. For the case of resource in cloud manufacturing services, sharing ontology and private ontology are researched. Sharing ontology is common description of the whole manufacturing domain, and private ontology is individual description of a specific manufacturing platform. The transformation between sharing ontology and private ontology provides a way for isomerism resources to invoke each other.

Effects of machining method and technique on galvanized steel material properties

2021 ◽  
Vol 21 (3) ◽  
pp. 545-553
Author(s):  
Nadia Abdul Rani ◽  
Faieza Abdul Aziz ◽  
Abdul Rahman Hemdi ◽  
Mohanadhas Kanagaraj
Keyword(s):  
Material Properties ◽  
Metal Cutting ◽  
Electrical Discharge Machining ◽  
Sustainable Manufacturing ◽  
Optimization Techniques ◽  
Cnc Machining ◽  
Galvanized Steel ◽  
Work Piece ◽  
Advanced Technique ◽  
Cutting Processes

Machining or metal cutting operation is the process of removing unwanted material in the form of chips, from a block of metal, using cutting tool is the most widely used industrial practice for which sustainable manufacturing is an appropriate approach. Aligning with rapidly changing scenario in manufacturing industries, applications of optimization techniques in metal cutting processes is essential for a manufacturing unit to respond effectively to severe competitiveness and increasing demand of quality product in the market. When machining structural parts with high material removal rates, the stiffness of the machine tool can be one of the limited factors due to the machining vibrations or called chatter vibrations. Computer Numerical Controller (CNC) machining is one of the machining method used to get a high accuracy results in product and Wire Electrical Discharge Machining (WEDM) is one of the advanced technique primarily used for hard metals or those that would be very difficult to machine with traditional techniques, such as conventional milling operation. Due to this non-contact operation towards the work piece, it shallower the heat-affected zone (HAZ) which may effect on the material properties. In this paper, galvanized steel has been used to identify the changes in its mechanical properties by using tensile test with both machining methods and techniques to produce the T-bone specimen. Hence the static or tensile properties of the specimen is obtained, a good machining procedure could be determined. Therefore, it will decrease the strength of material and increase the durability and reliability of product.

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