Optimal Machining Parameter Selection Based on Real-Time Machine Monitoring Using IEC 61499 Function Blocks for Use in a Cloud Manufacturing Environment: A Case Study for Face Milling

2014 ◽  
Author(s):  
Nikolaos Tapoglou ◽  
Jörn Mehnen ◽  
Michael Doukas ◽  
Dimitris Mourtzis
Keyword(s):  
Cloud Manufacturing ◽  
Face Milling ◽  
Simulation Software ◽  
Machining Process ◽  
Shop Floor ◽  
Manufacturing Environment ◽  
Function Blocks ◽  
Machining Parameter ◽  
Iec 61499

Optimization of manufacturing processes is one of the key challenges towards a sustainable manufacturing environment. The components manufactured nowadays are usually divided into small batches of highly customized parts. These parts are usually machined using the traditional approach for machining on CNC machines. This approach involves the creation of a static G-code for every component that is manufactured, which is dispatched to the machines either manually or through a LAN network. In this paper a new approach in machine tool programming is presented. The proposed system is based on IEC 61499 function blocks to create last-minute feature based code for machining respecting actual machine status. The proposed system optimizes cutting parameters and delivers optimized code with respect to machining time. The function block approach is ideal for on-controller implementation while also allowing through its web based option the embedding into a cloud manufacturing environment. A cloud platform accommodates the machine availability monitoring module for increasing shop-floor awareness and allowing for the correct decisions at the right time. The machining process of face milling was selected as a case study for demonstrating the functionality of the proposed system. The results of the case study are visualized and verified using simulation software.

Cloud-Based Platform for Optimal Machining Parameter Selection Based on Function Blocks and Real-Time Monitoring

2015 ◽  
Vol 137 (4) ◽  
Author(s):  
Nikolaos Tapoglou ◽  
Jörn Mehnen ◽  
Aikaterini Vlachou ◽  
Michael Doukas ◽  
Nikolaos Milas ◽  
...  
Keyword(s):  
Small And Medium Enterprises ◽  
Cutting Tools ◽  
Cutting Parameters ◽  
Numerical Control ◽  
Shop Floor ◽  
Manufacturing Equipment ◽  
Function Blocks ◽  
Information Fusion Technique ◽  
Optimal Cutting Parameters ◽  
Machining Parameter

The way machining operations have been running has changed over the years. Nowadays, machine utilization and availability monitoring are becoming increasingly important for the smooth operation of modern workshops. Moreover, the nature of jobs undertaken by manufacturing small and medium enterprises (SMEs) has shifted from a mass production to small batch. To address the challenges caused by modern fast changing environments, a new cloud-based approach for monitoring the use of manufacturing equipment, dispatching jobs to the selected computer numerical control (CNC) machines, and creating the optimum machining code is presented. In this approach the manufacturing equipment is monitored using a sensor network and though an information fusion technique it derives and broadcasts the data of available tools and machines through the internet to a cloud-based platform. On the manufacturing equipment event driven function blocks with embedded optimization algorithms are responsible for selecting the optimal cutting parameters and generating the moves required for machining the parts while considering the latest information regarding the available machines and cutting tools. A case study based on scenario from a shop floor that undertakes machining jobs is used to demonstrate the developed methods and tools.

Agent-based simulation platform for cloud manufacturing

2017 ◽  
Vol 08 (03) ◽  
pp. 1742001 ◽  
Author(s):  
Chun Zhao ◽  
Lin Zhang ◽  
Yongkui Liu ◽  
Zhiqiang Zhang ◽  
Gengjiao Yang ◽  
...  
Keyword(s):  
Business Models ◽  
Cloud Manufacturing ◽  
Simulation Platform ◽  
Agent Based Simulation ◽  
Manufacturing Environment ◽  
Agent Based ◽  
Open Environment ◽  
Platform Architecture ◽  
Key Technologies

Cloud manufacturing is a new manufacturing paradigm which creates an open environment for transactions among the enterprises. Research on transaction modes and regularities in a cloud manufacturing environment is important for promoting the applications of cloud manufacturing. To this end, we design and implement a simulation platform according to the typical transaction processes of enterprises in the cloud manufacturing environment. In the simulation platform, enterprises are encapsulated into Service Agents, and thus the activities of service agents can be used to describe enterprise behaviors. By defining different rules, simulations for different business models can be conducted. Detailed descriptions of the platform architecture, functions, and key technologies are presented. The feasibility of the simulation platform is verified through a case study.

An Integrated Rapid Prototyping Environment for Reconfigurable Manufacturing Systems

Materials ◽  
2003 ◽  
Author(s):  
Chengyin Yuan ◽  
Placid Ferreira
Keyword(s):  
Manufacturing Systems ◽  
Modular Design ◽  
Low Cost ◽  
Work Force ◽  
Shop Floor ◽  
Reconfigurable Manufacturing Systems ◽  
Reconfigurable Manufacturing ◽  
Manufacturing Enterprise ◽  
Function Blocks ◽  
Iec 61499

At the enterprise level, manufacturing organizations are faced with accelerating technological cycles, global competition and an increasingly mobile work force. The flexibility of an enterprise and its ability to respond to new customer demands governs the competitiveness of the enterprise to changes in its market and in the society in which it operates. The flexibility in production processes must be able to accommodate differing product mixes with the changing availability of a skilled work force. It has been recognized for many years that flexibility on the enterprise shop floor can always be achieved if the resulting cost of product, process and system changeovers are not considered. However, with the increasing competitive pressures on today’s manufacturing enterprise; a highly flexible and reconfigurable manufacturing environment must be achieved at relatively low cost and high work-force productivity while maintaining a competitive advantage. To accomplish this goal the manufacturing enterprise must be able to be reconfigured with an increased level of automation that is scalable and flexible to meet diverse product demands. In this paper, we will introduce EMBench as the design and simulation environment for reconfigurable manufacturing systems. This environment provides a universal GUI (Graphical User Interface) that allows user to design, configure and simulate various resources on the shop floor level. In this paper, we present the resource model, workstation model and cell model and explore their characteristics and behaviors. We also propose the general interface for different models using IEC-61499 function blocks that allow scalable expansion and modular design. We use IEC-61499 function blocks and a service layer architecture to integrate various resources on the enterprise shop floor and achieve flexibility at a low cost. This environment facilitates a modular, component-based design of services for enterprise shop floor control.

An Integrated Environment for the Design and Control of Deadlock-Free Flexible Manufacturing Cells

2004 ◽  
Author(s):  
Chengyin Yuan ◽  
Placid Ferreira
Keyword(s):  
Rapid Prototyping ◽  
Flexible Manufacturing ◽  
Low Cost ◽  
Work Force ◽  
Shop Floor ◽  
Manufacturing Cells ◽  
Manufacturing Enterprise ◽  
Function Blocks ◽  
And Control ◽  
Iec 61499

At the enterprise level, manufacturing organizations are faced with accelerating technological cycles, global competition and an increasingly mobile work force. The flexibility of the enterprise and its ability to respond to various customer demands governs the competitiveness of the enterprise to the changes in its market and in the society in which it operates. It has been recognized for many years that flexibility on the enterprise floor can always be achieved if the resulting cost of product and process changeovers and its operations are not considered. However, with the increasing competitive pressures on today’s manufacturing enterprise, a flexible-manufacturing environment must be achieved at relatively low cost and high work-force productivity while maintaining a competitive advantage. To accomplish this goal, the manufacturing enterprise must be able to be reconfigured and verified with an increased level of automation that is scalable and flexible to meet diverse product demands quickly and economically. In this paper, we will introduce the recent research work on developing an integrated rapid prototyping environment, EMBench [22, 23], which can provide design, control configuration, simulation and deployment services for flexible manufacturing systems. This rapid prototyping environment has its own user-friendly GUI (Graphical User Interface) that allows user to issue various commands to the controller at different layers, from the simple joint servo to the complex manufacturing cell. In this paper, we also propose the implementation diagram for the controller of manufacturing cells that consists of scheduler, dispatcher, real-time database and structural control policy. All these internal components are responsible for storing system configuration, optimizing processing plan, releasing appropriate command, etc. We also present the idea of cell model and explore its characteristics and behaviors as well as the resource and workstation models. All above modules and architecture are developed using IEC-61499 function blocks that support scalable expansion and modular design. To demonstrate our theoretical achievements, we have developed various IEC-61499 function blocks to integrate various resources on the enterprise shop floor and achieve flexibility at a low cost. This software environment facilitates a modular, component-based mechanical and control design, simulating and prototyping tool for shop floor control.

Virtual Function Block Mechanism in the Cloud Manufacturing Environment

2013 ◽  
Vol 694-697 ◽  
pp. 2438-2441 ◽  
Author(s):  
Xi Vincent Wang ◽  
Xun W Xu
Keyword(s):  
Service Oriented Architecture ◽  
Cloud Service ◽  
Cloud Manufacturing ◽  
Manufacturing Environment ◽  
Function Block ◽  
Integration Mechanism ◽  
Data Flows ◽  
Service Oriented ◽  
Function Blocks ◽  
Block Based

CManufacturing is a new manufacturing model that has evolved from Service-Oriented Architecture, networked manufacturing and CComputing. It provides intelligent, interoperable and distributed manufacturing model for the industry. This paper introduces a resource integration mechanism in the Cloud Manufacturing environment. Function Block technology is discussed from the Cloud Manufacturing perspective in detail. Next, a novel integration mechanism is proposed, namely the Virtual Function Block. Based on physical Function Blocks and software agents, Virtual Function Blocks are able to manipulate and integrate manufacturing resources via event states and data flows. During implementation, Creo Parametric was integrated as a Cloud Service with the help of VFBs to evaluate the mechanism.

A Highly Efficient and Optimised Simulation Based Multi objective Decision-Making for FMS Control

2018 ◽  
Vol 6 (6) ◽  
pp. 98
Author(s):  
Shreyanshu Parhi ◽  
S. C. Srivastava
Keyword(s):  
Decision Making ◽  
Real Time ◽  
Manufacturing Industry ◽  
Simulation Software ◽  
Shop Floor ◽  
Simulation Tool ◽  
Routing Flexibility ◽  
Decision System ◽  
Multi Objective ◽  
Arena Simulation

Optimized and efficient decision-making systems is the burning topic of research in modern manufacturing industry. The aforesaid statement is validated by the fact that the limitations of traditional decision-making system compresses the length and breadth of multi-objective decision-system application in FMS.  The bright area of FMS with more complexity in control and reduced simpler configuration plays a vital role in decision-making domain. The decision-making process consists of various activities such as collection of data from shop floor; appealing the decision-making activity; evaluation of alternatives and finally execution of best decisions. While studying and identifying a suitable decision-making approach the key critical factors such as decision automation levels, routing flexibility levels and control strategies are also considered. This paper investigates the cordial relation between the system ideality and process response time with various prospective of decision-making approaches responsible for shop-floor control of FMS. These cases are implemented to a real-time FMS problem and it is solved using ARENA simulation tool. ARENA is a simulation software that is used to calculate the industrial problems by creating a virtual shop floor environment. This proposed topology is being validated in real time solution of FMS problems with and without implementation of decision system in ARENA simulation tool. The real-time FMS problem is considered under the case of full routing flexibility. Finally, the comparative analysis of the results is done graphically and conclusion is drawn.

scholarly journals TO SUPPORT IOT COLLABORATIVE EXPRESSIVENESS ON THE SHOP FLOOR

2021 ◽  
Vol 1 ◽  
pp. 3149-3158
Author(s):  
Álvaro Aranda Muñoz ◽  
Yvonne Eriksson ◽  
Yuji Yamamoto ◽  
Ulrika Florin ◽  
Kristian Sandström
Keyword(s):  
Industry 4.0 ◽  
Shop Floor ◽  
Manufacturing Companies ◽  
Technical Aspects ◽  
Industrial Landscape ◽  
The Future ◽  
New Research ◽  
Empirical Material

AbstractThe availability of new research for IoT support and the human-centric perspective of industry 4.0 opens a gap to support operators in unleashing their creativity so they can provide improvements opportunities with IoT technology. This paper presents a case-study carried out in four Swedish manufacturing companies, where four different workshops were facilitated to support operators in the conceptualization of manufacturing improvements with IoT technologies. The empirical material gathered during these workshops has been analyzed in five different reflective sessions and discussed in light of previous research from industry 4.0, operators, and IoT support. Results indicate that operators can collaboratively create conceptual IoT solutions and that expressiveness in communicating their ideas and needs using IoT technology is more relevant than technical aspects and details of their proposed IoT solutions. This technological expressiveness is identified as a necessary skill to be cultivated on the shop floor and can potentially contribute to making a more effective and socially sustainable industrial landscape in the future.

scholarly journals Life Cycle Environmental Assessment of Light Steel Framed Buildings with Cement-Based Walls and Floors

2020 ◽  
Vol 12 (24) ◽  
pp. 10686
Author(s):  
Mona Abouhamad ◽  
Metwally Abu-Hamd
Keyword(s):  
Life Cycle ◽  
Building Materials ◽  
Simulation Software ◽  
Life Cycle Assessment Methodology ◽  
Building Information Model ◽  
Building Information ◽  
Cold Formed Steel ◽  
Environmental Measures ◽  
Materials Used

The objective of this paper is to apply the life cycle assessment methodology to assess the environmental impacts of light steel framed buildings fabricated from cold formed steel (CFS) sections. The assessment covers all phases over the life span of the building from material production, construction, use, and the end of building life, in addition to loads and benefits from reuse/recycling after building disposal. The life cycle inventory and environmental impact indicators are estimated using the Athena Impact Estimator for Buildings. The input data related to the building materials used are extracted from a building information model of the building while the operating energy in the use phase is calculated using an energy simulation software. The Athena Impact Estimator calculates the following mid-point environmental measures: global warming potential (GWP), acidification potential, human health potential, ozone depletion potential, smog potential, eutrophication potential, primary and non-renewable energy (PE) consumption, and fossil fuel consumption. The LCA assessment was applied to a case study of a university building. Results of the case study related to GWP and PE were as follows. The building foundations were responsible for 29% of the embodied GWP and 20% of the embodied PE, while the CFS skeleton was responsible for 30% of the embodied GWP and 49% of the embodied PE. The production stage was responsible for 90% of the embodied GWP and embodied PE. When benefits associated with recycling/reuse were included in the analysis according to Module D of EN 15978, the embodied GWP was reduced by 15.4% while the embodied PE was reduced by 6.22%. Compared with conventional construction systems, the CFS framing systems had much lower embodied GWP and PE.

Sign in / Sign up

Export Citation Format

Share Document