DIGITAL PRODUCTION | TECHNOLOGY
captured within the automated system. It can compute Mean Time Between Failures (MTBF) and Mean Time to Repair (MTTR) of equipment, following established best practices. Manufacturing managers use the information to decide how, when and where to focus resources to reduce downtime events while increasing asset utilisation. A lifestyle tracking app determines part or tool
wear or failure and offers predictive capabilities for time and usage-based equipment maintenance. A recipe management/process management app loads machine settings, tracks changes to those settings and measures production against pre-set machine parameters to reduce operator error and changeover times. A quality management app analyses manual and online test results to deter- mine operating quality trends, alerting operators in real time to proactively take corrective action when a problem is nearing. The app integrates with most shop floor software programs to link jobs, work orders, quality test results and machine perfor- mance data.
Chinese injection molding machinery producer
Yizumi has developed an Augmented Reality (AR) enterprise SaaS App that combines AR, 3D and online communication technology with services like audio and video calls and document transmission as to enhance the efficiency of communication with users. This app can upgrade the efficiency of remote
collaboration, product exhibition and remote training, improved communication quality and a new digital interaction, confirms Joe Liang, Regional Sales Manager at Yizumi. The AR enterprise SaaS app addresses three
major problems in a remote maintenance scenario: making accurate positioning; providing accurate instructions; and effective communicating of opera- tional details. “Customers sometimes have equip- ment maintenance and daily maintenance prob- lems,” says Yizumi. With the AR enterprise SaaS app, Yizumi experts are able to provide immediate guidance and troubleshooting to customer. Enhanced remote communication avoids a long wait of support and expensive travel expenses, etc. When combined with IoT and visualisation technologies, the AR enterprise SaaS app can provide a more intuitive experience. For example, an interactive 3D model of equipment can be displayed to a customer through AR smart glasses, mobile phone or tablet/pad. The image can be viewed as a 1:1 real size model, or disassembled to pinpoint specific components or functions. The AR enterprise SaaS app allows a more immersive remote training solution.
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“Training experts wear the AR glasses and take
AR remote audio and video calls though the AR app,” Yizumi says. Trainers in a workshop can teach while conducting an on-site demonstration of operations, fielding students’ questions and solving problems in real time. Sumitomo (SHI) Demag exhibited a new permanent condition machine monitoring system at last year’s Fakuma show in Germany that can be used to determine the actual degree of wear and tear of machine components, enabling early detection and the pre-planning of maintenance. The system is able to analyse complex processes directly on the machine, making it possible to monitor critical parameters, which typically requires considerable effort and resources. The rationale for developing the condition moni- toring systems focused on components where failures incur the highest costs and lengthiest machine downtimes. Sumitomo presented three real-time diagnostic options that can be imple- mented across its entire machine series, says Thorsten Thümen, Senior Director Technology. The first option helps to permanently maintain energy efficiency and power on its IntElect all-electric machines. The company has developed a process that detects capacitance changes in the converter supply, which could be the result of aging of the electrolytic capacitors or electrical defects. Accord- ing to the company, in the event of a loss of capacity, the energy fed back into the cycle can no longer be stored and is dissipated through the brake resistors. Machine energy consumption may initially increase, and at a certain point the brake resistor becomes overloaded and the machine can no longer be used for the set cycle. “This results in unplanned downtime and losses in cycle time with corresponding deviations,” says Thümen. Status monitoring of the intermediate circuit capacity
Below: Yizumi has launched an AR-based enterprise SaaS app for injection moulders
September 2022 | INJECTION WORLD 27
IMAGE: YIZUMI
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