Interoperable CNC Machine via Function Block and STEP-NC Data Model for Milling Operation

2012 ◽  
Vol 229-231 ◽  
pp. 2365-2369 ◽  
Author(s):  
D.M. Elias ◽  
Y. Yusof ◽  
Mohammad Minhat

The Function Block Development Kit (FBDK) platform proposed for STEP-NC controller architecture . It can be used to create an open CNC architecture on ISO 14649 and Function Block (IEC 61499). This offers interoperability, portability, and adaptability. The proposed framework consists of three main modules: (1) STEP-NC Interface, (2) Simulator, and (3) Communication. The system will be implemented in CNC controller on actual milling machine. It will simplify the design of CNC machine controller with the architecture layers responsible for data processing, data storage, execution and feedback. This paper also discusses towards the requirements for global interoperable manufacturing for real-life machining system with the architecture layers responsible for data storage, data processing, and execution.

2011 ◽  
Vol 383-390 ◽  
pp. 984-989
Author(s):  
D.M. Elias ◽  
Y. Yusri ◽  
M. Mohamad

STEP-NC standard contains information on how CNC machine tools can be represented from STEP product data model. STEP-NC is an extension of STEP which is the standard for exchange product model data. This determines the neutral data format for digital information from a product. This paper is to propose an architecture of intelligent controller via multi-agent-based conceptual as the reference architecture. It can be successfully used to create an open CNC on ISO standard of ISO 14649 and ISO 10303. This offers interoperability, portability, and adaptability. The proposed framework consists of four main modules, STEP-NC interface, simulator, data warehouse, and communication. In order to optimize, the controller should incorporate with various technology related to intelligent, such as kernel software, open communication port and open hardware design. The architecture will be implemented in CNC controller and to be tested later on actual milling machine. It will simplify the design of CNC machine controller with the architecture layers responsible for data processing, data storage, execution and feedback. This paper will discuss order towards the requirements for global interoperable manufacturing for real-life machining system.


Author(s):  
Xi Vincent Wang ◽  
Lihui Wang

Cloud Computing is the new enabling technology that offers centralised computing, flexible data storage, and scalable services. In the manufacturing context, it is possible to extend the Cloud technology for integrating and provisioning manufacturing facilities and capabilities in terms of Cloud services. In this paper, a function block-based integration mechanism is developed to integrate various types of manufacturing facilities. A Cloud-based architecture is also deployed to provide a service pool which maintains these facilities in terms of manufacturing services. The proposed framework and mechanisms are evaluated by implementations. In practice, it is possible to establish an integrated manufacturing environment across multiple levels with the support of manufacturing Cloud and function blocks. It provides a flexible architecture as well as adaptive and integration methodologies for the Cloud manufacturing system.


Author(s):  
Zhenyu Cheng ◽  
Wei Li ◽  
Robert Cheatham ◽  
Jianguo Wang ◽  
C. Greg Jensen ◽  
...  

Although modern machine tools and controllers have evolved along with the personal computer over the years, the standard input (M&G code files) for CNC machines has not changed. A new method of control called Direct Machining And Control (DMAC) is being developed at Brigham Young University. DMAC is a revolutionary new paradigm for rapid prototyping and CNC control by directly connecting a CAD system with software based DMAC controller. DMAC technology completely eliminates all intermediate files (APT, M&G code, STEP-NC, etc) between the CAD model and the CNC controller by directly processing the geometric tool path entities that are sent from the CAD/CAM system to the motion buffer of the controller. Direct machining maintains the efficiency and accuracy improvements seen in NURBS tool path representation, and also retains associativity between the CAD model and the tool paths driving the CNC machine tool. This paper presents a Direct Machining system designed to directly connect a commercial CAD/CAM systems (Unigraphics, CATIA, CM2 and Alias) with a software-based DMAC controller. In this paper, Direct Machining, with its requirements and implications, is explored. The overall DMAC architecture is presented. Parts from the Ford GT car were machined on a Tarus five-axis mill by the DMAC system, and were compared with traditional method which used M&G codes.


Biomimetics ◽  
2021 ◽  
Vol 6 (2) ◽  
pp. 32
Author(s):  
Tomasz Blachowicz ◽  
Jacek Grzybowski ◽  
Pawel Steblinski ◽  
Andrea Ehrmann

Computers nowadays have different components for data storage and data processing, making data transfer between these units a bottleneck for computing speed. Therefore, so-called cognitive (or neuromorphic) computing approaches try combining both these tasks, as is done in the human brain, to make computing faster and less energy-consuming. One possible method to prepare new hardware solutions for neuromorphic computing is given by nanofiber networks as they can be prepared by diverse methods, from lithography to electrospinning. Here, we show results of micromagnetic simulations of three coupled semicircle fibers in which domain walls are excited by rotating magnetic fields (inputs), leading to different output signals that can be used for stochastic data processing, mimicking biological synaptic activity and thus being suitable as artificial synapses in artificial neural networks.


2021 ◽  
Vol 1892 (1) ◽  
pp. 012014
Author(s):  
Noor Hatem ◽  
Yusri Yusof ◽  
Aini Zuhra A Kadir ◽  
Kamran Latif ◽  
M A Mohammed
Keyword(s):  
Open Cnc ◽  
G Code ◽  

2011 ◽  
Vol 346 ◽  
pp. 644-649 ◽  
Author(s):  
Bin Feng ◽  
Xue Song Mei ◽  
Liang Guo ◽  
Dong Sheng Zhang ◽  
You Long Cheng

The positional accuracy and machining precision are mainly affected by backlash for semi-closed loop control CNC machine tool. And compensation for backlash is essential to improving the accuracy of machine tool. A method is developed to reduce contouring error in this paper. A simulated model of backlash and Open CNC system are used to verify compensation algorithm. Computational simulations and experimental results have shown that the contouring error due to backlash can be greatly reduced by using backlash compensation.


2018 ◽  
Vol 9 (4) ◽  
pp. 52-70 ◽  
Author(s):  
Ameera Saleh Jaradat ◽  
Safa'a Bani Hamad

This article describes how parallel to the continuous growth of the Internet, which allows people to share and collaborate more, social networks have become more attractive as a research topic in many different disciplines. Community structures are established upon interactions between people. Detection of these communities has become a popular topic in computer science. How to detect the communities is of great importance for understanding the organization and function of networks. Community detection is considered a variant of the graph partitioning problem which is NP-hard. In this article, the Firefly algorithm is used as an optimization algorithm to solve the community detection problem by maximizing the modularity measure. Firefly algorithm is a new Nature-inspired heuristic algorithm that proved its good performance in a variety of applications. Experimental results obtained from tests on real-life networks demonstrate that the authors' algorithm successfully detects the community structure.


2013 ◽  
Vol 554-557 ◽  
pp. 706-713 ◽  
Author(s):  
Fabien Poulhaon ◽  
Matthieu Rauch ◽  
Adrien Leygue ◽  
Jean Yves Hascoet ◽  
Francisco Chinesta

Real-time control of manufacturing processes is a challenging issue for nowadays industry. The need for ever more efficient production requires new strategies in order to make correct decisions in an acceptable time. In a large number of cases, operators working on a CNC machine tool have a reduced number of possibilities for interacting in real-time with the machine. Numerical simulation based control is in that sense an appealing alternative to the conventional approach since it provides the operator with an additional source of information, confirming his choices or in reverse suggesting a more adapted strategy. The main goal of this work is to propose a method to move from a bilateral approach (operator and CNC controller) to a trilateral one where the simulation is an active component of the manufacturing process. This paper focuses on a simple issue sometimes encountered in milling processes: how to remove a constant thickness of material at the surface of a part whose exact geometry is unknown? The difficulty lies in the choice of an appropriate trajectory for the tool. So far the method which is employed consists in acquiring the geometry of the part thanks to a palpation step made prior to milling. However, this step has to be repeated for each part and can become rather fastidious as the size of the part increases. The approach presented here gets rid of the palpation step and makes use of online measurements for identifying the real geometry and correcting the trajectory of the tool in accordance. By monitoring the forces applying on the tool (directly on the NC), we have access to the milling depth and therefore to the geometry of the part at several locations along the trajectory of the tool. This information is used as an input data for our numerical model running on an external device, which finally derives an approximation for the geometry. An optimized trajectory is then obtained and is updated on the machine. This procedure is repeated as the tool moves forward and it allows for a fast and robust on-line correction of the toolpath.


2019 ◽  
Vol 8 (4) ◽  
pp. 8593-8596

Evaluation of Internet of Things (IoT) technologies in real life has scaled the enumeration of data in huge volumes and that too with high velocity, and thus a new issue has come into picture that is of management & analytics of this BIG IOT STREAM data. In order to optimize the performance of the IoT Machines and services provided by the vendors, industry is giving high priority to analyze this big IoT Stream Data for surviving in the competitive global environment. Thses analysis are done through number of applications using various Data Analytics Framework, which require obtaining the valuable information intelligently from a large amount of real-time produced data. This paper, discusses the challenges and issues faced by distributed stream analytics frameworks at the data processing level and tries to recommend a possible a Scalable Framework to adapt with the volume and velocity of Big IoT Stream Data. Experiments focus on evaluating the performance of three Distributed Stream Analytics Here Analytics frameworks, namely Apache Spark, Splunk and Apache Storm are being evaluated over large steam IoT data on latency & throughput as parameters in respect to concurrency. The outcome of the paper is to find the best possible existing framework and recommend a possible scalable framework.


2018 ◽  
Vol 1 (2) ◽  
pp. 14-24
Author(s):  
Dame Christine Sagala ◽  
Ali Sadikin ◽  
Beni Irawan

The data processing systems is a very necessary way to manipulate a data into useful information. The system makes data storage, adding, changing, scheduling to reporting well integrated, so that it can help parts to exchange information and make decisions quickly. The problems faced by GKPI Pal Merah Jambi are currently still using Microsoft Office Word and in disseminating information such as worship schedules, church activities and other worship routines through paper and wall-based worship services. To print worship and report reports requires substantial operational funds, in addition to data collection and storage there are still deficiencies including recording data on the book, difficulty in processing large amounts of data and stored in only one special place that is passive. Based on the above problems, the author is interested in conducting research with the title Designing Data Processing Systems for Web-Based Churches in the GKPI Pal Merah Church in Jambi. The purpose of this study is to design and produce a data processing system for the church. Using this system can facilitate data processing in the GKPI Pal Merah Jambi Church. This study uses a waterfall development method, a method that provides a systematic and sequential approach to system needs analysis, design, implementation and unit testing, system testing and care. Applications built using the web with MySQL DBMS database, PHP programming language and Laravel.


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