milling production line monitoring system

tool condition monitoring techniques in milling process a review - sciencedirect

tool condition monitoring techniques in milling process a review - sciencedirect

The most important improvement in metal the cutting industry is the continuous utilization of cutting tools and tool condition monitoring system. In the metal cutting process, the tool condition has to be administered either by operators or by online condition monitoring systems to prevent damage to both machine tools and workpiece. Online tool condition monitoring system is highly essential in modern manufacturing industries for the rising requirements of cost reduction and quality improvement. This paper summaries various monitoring methods for tool condition monitoring in the milling process that have been practiced and described in the literature.

monitoring systems for zero defect manufacturing - sciencedirect

monitoring systems for zero defect manufacturing - sciencedirect

In any machining process there are many parameters which should be taken under control in order to improve the quality of production. In this paper is given an overview of possible actions which could be implemented in order to reach the goal of manufacturing zero defects parts. These methodologies are here classified based on their type of interaction with the process as indirect and direct actions. Among direct actions, a particular focus is given to monitoring systems, which are the main field of activity of Montronix.

product line monitoring | decide4action

product line monitoring | decide4action

Our industry-proven Production Monitoring Solutions capture valuable, real-time data across manufacturing operations. Whether focused on the single most critical machine or monitoring all the machines on the factory-floor, PRODUCTION4ACTION can be customized and configured to drive increased productivity, improved quality and performance, decreased downtime and changeover times, and more accurate OEE scores.

Do you know how often your production lines stop? For how long? Why? If you cant answer these questions with absolute certainty, then chances are you are still relying on manual stop time monitoring and recordingmeaning your production line isnt operating at maximum efficiency. The only way to answer these questions is to collect the most up-to-date information possible and analyze the reasons behind line stoppage.

DECIDE4ACTION offers production monitoring that can not only be customized and tailored to address operational needs but can also be deployed based the choice of monitoring comprehensiveness and integration selected by the organization.

In the 1990s, our first production monitoring implementations with a large Fortune 100 bottling manufacturer were the Focused Monitoring which targeted only the most critical machine. Today, we are deploying SCADA Complete Monitoring across North America. 2020 sees the growth of more custom monitoring and integration deployments as facilities seek to integrate operational data across departments, locations and regions.

DECIDE4ACTIONs Focused Monitoring solution provides real-time data acquisition for a production line by focusing on the most critical machine(s), i.e. dual fillers for a bottling/canning line. DECIDE4ACTIONs focused production line monitoring solution is easily deployed using targeted sensors for the appropriate environment and production process, DECIDE4ACTION interface modules and the DECIDE4ACTION software platform.

Real-time feedback and analysis is readily available via graphical user interface, robust management dashboards and detailed reporting capabilities. The comprehensive data analysis and reporting package can be loaded on any Microsoft Windows-based personal computer or tablet in the facility. Our unlimited client, site-based licensing model eliminates the complicated, costly and time-consuming aspects that are associated with a typical individual client/workstation licensing model.

DECIDE4ACTIONs supervisory control and data acquisition (SCADA ) system is a cutting-edge, web-based comprehensive monitoring solution that provides real-time data acquisition across an entire production environment and all critical production machines. Via graphical user interface, robust management dashboards and detailed reporting capabilities, the SCADA solution offers real-time feedback and more accurate analysis of production runs through standards-based performance measurements. In addition, the system provides a comprehensive data analysis and reporting package that can be loaded on any Microsoft Windows based personal computer in the facility. Our unlimited client, site-based licensing model eliminates the complicated, costly and time-consuming aspects that are associated with a typical individual client/workstation licensing model.

DECIDE4ACTIONs SCADA can utilize the plants PLC network, individual machines PLCs, or installed sensors and/or PLCs, primarily with the goal of detecting, accumulating and reporting true equipment downtime metrics for each major piece of equipment on the line. A major goal of the system is to automatically capture as much of the machine information as possible, while minimizing modifications to the machine itself and/or equipment PLC programs. The software will track stops at each selected piece of equipment based on a configured downtime interval. As well, the system collects Automatic Stop Events that are available from the PLCs. Operators are able to review automatic stops for accuracy and declare non-automatic downtime events on integrated workstations. Standardized down time codes will be managed at the corporate level.

CONNECT by DECIDE4ACTION is an easily deployable solutions that allows you to quickly purchase and install for immediate results. Each device provides an interface between your existing equipment and our comprehensive monitoring software. With CONNECT, any non-digital equipment can easily and quickly become part of the supervised pool of equipment.

DECIDE4ACTIONs Artificial Intelligence Service starts at the edge automatically. Now it is easier and simpler for facilities to implement cognitive manufacturing with machine learning and predictive maintenance. CONNECTedge devices incorporate NanoEdge AI, Cartesiams unique machine-learning technology to understand and exploit data directly where it is generated.

Snap a CONNECTedge onto a pump, boiler, motor, blender, grinder, your most important machines, and automatically the process starts analyzing and predicting its vibrations profile. Eliminate the need for in-house Data Scientists and expensive volumes of historical data.

machine monitoring system: a decade in review | springerlink

machine monitoring system: a decade in review | springerlink

In recent years, significant advancements have been achieved in the domain of machine monitoring as witnessed from the beginning of the new industrial revolution (IR) known as IR 4.0. This new revolution is characterized by complete automation, and an increase in the technological deployments and advanced devices used by various systems. As a result, considerable advancement has been reported by researchers and academia around the world by adopting and adapting the new technology related to the machine condition monitoring problem. For these reasons, it is important to highlight new findings and approaches in machine condition monitoring based on the wireless sensor solution and machine learning signal processing methodology that are relevant to assist in advancing this new revolution. This article presents a comprehensive review on tool condition monitoring (TCM), tool wear, and chatter based on vibration, cutting force, temperature, surface image, and smart label monitoring parameters from signal acquisition, signal processing methodology, and decision-making, particularly for the milling process. The paper also provides a brief introduction to the manufacturing industries and computer numerical control (CNC) machine tool demand and a review of machine monitoring and countries involvement in machine monitoring, as well as the approaches and a survey of machine monitoring. The aim is to contribute to this rapidly growing field of machine condition monitoring research by exploring the latest research findings on the solution approach for milling machine process monitoring, to help expedite future research, and to give some future direction that needs to be considered as a path to produce a standardized CNC machine platform.

Zaretalab A, Haghighi HS, Mansour S, Sajadieh MS (2018) A mathematical model for the joint optimization of machining conditions and tool replacement policy with stochastic tool life in the milling process. Int J Adv Manuf Technol 96(58):23192339

Sevilla-Camacho PY, Robles-Ocampo JB, Muiz-Soria J, Lee-Orantes F (2015) Tool failure detection method for high-speed milling using vibration signal and reconfigurable bandpass digital filtering. Int J Adv Manuf Technol. 81(58):11871194

Krishnakumar P, Rameshkumar K, Ramachandran KI (2018) Machine learning based tool condition classification using acoustic emission and vibration data in high speed milling process using wavelet features, vol 1, pp 118

Hong YS, Yoon HS, Moon JS, Cho YM, Ahn SH (2016) Tool-wear monitoring during micro-end milling using wavelet packet transform and Fishers linear discriminant. Int. J. Precis. Eng. Manuf. 17(7):845855

Abbas J, Al-Habaibeh A, Su DZ (2013) Investigating the design of condition monitoring systems to evaluate surface roughness under the variability in tool wear and fixturing conditions. Key Eng Mater 572:467470

Bagci E (2011) Monitoring and analysis of MRR-based feedrate optimization approach and effects of cutting conditions using acoustic sound pressure level in free-form surface milling. Sci Res Essays 6(2):256277

Jauregui JC, Resendiz JR, Thenozhi S, Szalay T, Jacso A, Takacs M (2018) Frequency and time-frequency analysis of cutting force and vibration signals for tool condition monitoring. IEEE Access 6(c):64006410

Sevilla-Camacho PY, Robles-Ocampo JB, Jauregui-Correa JC, Jimenez-Villalobos D (2015) FPGA-based reconfigurable system for tool condition monitoring in high-speed machining process. Meas J Int Meas Confed.

Liu H, Lian L, Li B, Mao X, Yuan S, Peng F (2014) An approach based on singular spectrum analysis and the Mahalanobis distance for tool breakage detection. Proc Inst Mech Eng Part C J Mech Eng Sci 228(18):35053516

Sevilla-Camacho PY, Herrera-Ruiz G, Robles-Ocampo JB, Juregui-Correa JC (2011) Tool breakage detection in CNC high-speed milling based in feed-motor current signals. Int J Adv Manuf Technol. 53(912):11411148

Sivasakthivel PS, Sudhakaran R (2013) Optimization of machining parameters on temperature rise in end milling of Al 6063 using response surface methodology and genetic algorithm. Int J Adv Manuf Technol. 67(912):23132323

Bhattacharyya P, Sengupta D, Mukhopadhyay S (2007) Cutting force-based real-time estimation of tool wear in face milling using a combination of signal processing techniques. Mech Syst Signal Process. 21(6):26652683

This paper was partly sponsored by the Technical and Vocational Education Technology Research Grant Scheme, Prototype Development Research Grant (Grant code: G011), Ministry of Higher Education, the Malaysian Government under the Ministry of Education Malaysia (MOE), Universiti Tun Hussein Onn Malaysia (UTHM), Universiti Teknikal Malaysia Melaka (UTEM), Universiti Teknologi Malaysia (UTM), and Jabatan Pendidikan Politeknik dan Kolej Komuniti (JPPKK).

Iliyas Ahmad, M., Yusof, Y., Daud, M.E. et al. Machine monitoring system: a decade in review. Int J Adv Manuf Technol 108, 36453659 (2020). https://doi.org/10.1007/s00170-020-05620-3

factory & production line monitoring display system | intouch monitoring

factory & production line monitoring display system | intouch monitoring

The Intouch real-time production monitoring system harnesses the power of industry 4.0, transforming your plant into a smart factory. The touch of a button brings invaluable real-time visibility of your overall production line or particular workstation via the factory production display system. The flexible and easy to use Intouch system monitors production, process, quality and energy to deliver live and accurate information to any part of your factory. This clear view of what is happening on your shop-floor is crucial to making timely and optimum manufacturing decisions.

Users define which performance and measurement parameters to capture for each item or tooling configuration, thus providing flexibility to gather the unique, job-specific statistics you need to drive additional activities and processes.

Process data and key performance figures such as output speeds, run time, down-time, good/scrap production and utilisation are graphically displayed on fully configurable and tailored displays, reports and graphs that can be seen at a glance.

Real-time monitoring removes the costs and errors of collecting production and process data manually and enables your personnel to use their time more efficiently whilst the high visibility motivates production staff to keep machines operational.

Intouch monitors critical process data such as injection cushion, barrel temperature, baking time and everything that happens during production. Having real-time and accurate process data enables you to:

Intouch monitors product quality to ensure products are being made to specification, adhere to strict standards, reduce risk, improve compliance and traceability, meet product safety standards, raise quality and achieve a zero defect policy.

With the Intouch system, individual machine and asset energy monitoring makes it easy to identify excessive energy consumers and correctly allocate energy cost by person, machine, product, tool, material and production order. Alarms can be put in place to alert users that a machine has been left on when not in use and decisions can be made to significantly reduce energy consumption.

tool condition monitoring system: a review - sciencedirect

tool condition monitoring system: a review - sciencedirect

Increasing demands of process automation for un-manned manufacturing attracted many researchers in the field of on-line monitoring of machining processes. In view of this, extensive research work is taking place world-wide in the area of on-line tool condition monitoring system (TCMS). Tool wear is the most undesirable characteristic of machining processes as it adversely affects the tool life, which is of foremost importance in metal cutting owing to its direct impact on the surface quality of the machined surface, and its dimensional accuracy, and consequently, the economics of machining operations. Therefore, methods for cutting tool wear sensing are crucial in view of the optimum use of cutting tools. With an effective monitoring system, the damages to the machine tool, downtime and scrapped components can be avoided. This paper provides brief overview on tool condition monitoring.

why you should start using production monitoring system?

why you should start using production monitoring system?

The production monitoring system is a process of monitoring the production area of a company. It is an alternative to data collected by a human from the production line. It plays an essential rule for the development of a company without any human intervention since the data collected by the system from a different section of the production line can be used for further development of the company,and it also displays the situation of the production line continuously.

In other words,you can say that it makes things transparent in the production line. The most common production monitoring system software preferred by most of the companies is Techna check PM-1 which is developed and manufactured by Techna Tool Inc., which is a leading monitoring system software developer in the world. After installing in the electoral cabinet of the production line the software uses Ethernet system custom production monitoring software to collect the data.

The system software is connected to different production line like robotics or machinery where the system receives data viz. Target, cycle times, signal whether the processes are doing works without encountering any problems or not once the data collected by the managers and employees, they take the necessary steps for the development of the company.

With its tremendous advantages, it makes it easy for any company to achieve its goal. Its features keep the managers and employees updated about the production of the company. Since PMS gives instant feedback or data signal, so it acts as a savior for employees by allowing them to take immediate action to nullify any unwanted problems in the production line.

2021 The Software Post. All rights reserved. Logos, Trademarks and Images belongs to their Respective Owners. Thesoftwarepost.com is not affiliated with Android or Google | Android is a trademark of Google LLC.

2021 The Software Post. All rights reserved. Logos, Trademarks and Images belongs to their Respective Owners. Thesoftwarepost.com is not affiliated with Android or Google | Android is a trademark of Google LLC.

production monitoring system - real time manufacturing monitoring

production monitoring system - real time manufacturing monitoring

Monitor all your assets productivity and drive your projects home in no time. M-Box production monitoring system has an integrated project management tool that tracks projects through every step. Allow Working From Home for office staff with the built-in Activity Monitor.Share project boards with customers and vendors for seamless collaboration in your supply chain.

Monitor all your assets productivity and drive your projects home in no time. M-Box production monitoring system has an integrated project management tool that tracks projects through every step. Allow Working From Home for office staff with the built-in Activity Monitor. Share project boards with customers and vendors for seamless collaboration in your supply chain.

The equipment activity and electricity consumption (optional) are monitored via easy to install external sensors connected to the M-Box monitor that sends out the data via WiFi to your company portal. M-Box production monitoring software converts data in insightful screens and reports.

The equipment activity and electricity consumption (optional) are monitored via easy to install external sensors connected to the M-Box monitor that sends out the data via WiFi to your company portal. M-Box production monitoring software converts data in insightful screens and reports.

an intelligent system for monitoring and optimization of ball-end milling process - sciencedirect

an intelligent system for monitoring and optimization of ball-end milling process - sciencedirect

The paper presents an intelligent system for on-line monitoring and optimization of the cutting process on the model of the ball-end milling. An intelligent system for monitoring and optimization in ball-end milling is developed both in hardware and software. It is based on a PC, which is connected to the CNC main processor module through a serial-port so that control and communication can be realised. The monitoring system is based on LabVIEW software, the data acquisition system and the measuring devices (sensors) for the cutting force measuring. The system collects the variables of the cutting process by means of sensors. The measured values are delivered to the computer program through the data acquisition system for data processing and analysis. The optimization technique is based on genetic algorithms for the determination of the cutting conditions in machining operations. In metal cutting processes, cutting conditions have an influence on reducing the production cost and time and deciding the quality of a final product. Experimental results show that the proposed genetic algorithm-based procedure for solving the optimization problem is effective and efficient, and can be integrated into a real-time intelligent manufacturing system for solving complex machining optimization problems.

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