November 2020 Volume 2

Condition-Based Maintenance (CBM):

Figure 4: Dashboard of a CMMS for a MTM. If the state of a machine changes outside a specified range, the maintenance messages are triggered in the CMMS. While the current data can be collected, you need a CMMS to collect the data automatically and inform maintenance personnel when it is time to take action. By monitoring the condition of the machine in real time, CBM provides a forward-looking element. But true forward-looking Figure 4: Dashboard of a CMMS for a MTM. If the state of a machine changes outside a specified range, the maintenance messages are triggered in the CMMS. While the current data can be collected, you need a CMMS to collect the data automatically and inform maintenance personnel when it is time to take action. By monitoring the condition of the machine in real time, CBM provides a forward-looking element. But true forward-looking maintenance goes beyond that! If the state of a machine changes outside a specified range, the maintenance messages are triggered in the CMMS. While the current data can be collected, you need a CMMS to collect the data automatically and inform maintenance personnel when it is time to take action. By monitoring the condition of the machine in real time, CBM provides a forward-looking element. But true forward-looking maintenance goes beyond that! Predi tive Maintenance (PdM): Predictive maintenance is based on the scientific analysis of a type or many types of measurements and is used to determine the life expectancy of a component or an entire machine. Predictive maintenance is based on the scientific analysis of a type or many types of measurements and is used to determine the life expectancy of a component or an entire machine. Figure 5: Setting PM Intervals for a MTM. A classic example is an electronic neurological network (i.e., Fuzzy Logic Concept) in which software analyzes detailed information on equipment failure rates in order to change rules or threshold values in such a way that it issues predictions, when similar installations will fail in the future, about timing. Here, a corresponding Computer-aided Maintenance Management Systems (CMMS) can be used as well. By means of the software, the data is recorded, stored, organized, summarized in reports, and transferred to forward-looking analysis modules. Often, condition-orientated maintenance (CBM) with predictive maintenance (PDM) are mixed up. After all, these are different strategies. Predictive maintenance is based on the scientific analysis of a type or many types of measurements and is used to determine the life expectancy of a component or an entire machine. A condition-oriented maintenance, CBM, makes it possible to connect meters and measuring devices from machines and trigger work orders when certain limits are achieved. Figure 4: Dashboard of a CMMS for a MTM. FORGING RESEARCH AND TECHNOLOGY

3 Automated Guided Vehicles - AGVs 3.1 AGVs at Aluminum Smelters

Since December 2015, the company HENCON, based in Ulft, Netherlands, is a corporate member of the DANGO & DIENENTHAL Group. HENCON designs and manufactures special machinery for the aluminum industry, the mining industry, and the forestry industry. Hencon has been using AGV's for several years now and already has a great deal of experience in the design of such vehicles. This applies to the electric drives for driving and steering, the machine control system BECKHOFF, the navigation software, and the infrastructure planning.

igure 5: Setting PM Intervals for a MTM.

FIA MAGAZINE | NOVEMBER 2020 66 Automated Guided Vehicles - AGVs .1 AGVs at Aluminum Sm lters Since December 2015, the company HENCON, based in Ulft, Netherlands, is a orporate member of the DANGO & DIENENTHAL Group. HENCON designs and manufactures special maintenance goes beyond that! Predictive Maintenance (PdM): oftware analyzes detailed informatio on quipment failur rates in order to change ules or th eshold values in such a way hat it ssues predi ions, when simil r installatio s will fail in the future, about timing. Here, a corresponding Computer-aided Maintenance Managem nt Sys ems (CMMS) an be used as well. By means of the oftwar , the data is recorded, stored, rganized, ummarized in reports, and ransferred to forward-looking analysis modules. Often, condition-orientat d mainten nce CBM) with predictive maintenanc (PDM) are mixed up. Afte all, these are diff rent trategies. Predictive Maintenance (PdM): HAL Group A classic example is an elec onic neurological etwork (i.e., Fuzzy Logic Co cept) in which

Figure 6: AGV for an Aluminum Smelter. HENCON is securing the travel path with a laser scanner partly encapsulated against electromagnetic radiation. According to the driving tasks, the scanners are set to different areas (i.e., for curves or detecting obstacles). In addition to the scanner, bumpers are installed. Bumper depth is approximately 200 mm, of which 30% response threshold is applicable, 50% safe switching, 20% of the depth is not usable (Figure 6). As a warning to other road users: Blue spot and start-up warning observance of the DIN EN 1525 standard (safety of forklift trucks), vehicle control from fast PLC controller unit. There are also safety cards that process profisafe signals of the scanners safely. The software has been compiled for a specific and very fast CPU. Additionally, telemetric systems deliver data of the operating unit to a cloud-based storage, where the owner of the equipment as well as the OEM can retrieve them in order to analyze the data with special focus. The owner of the equipment wants to know if and where the unit is operated, what the conditions are like, and maybe who was driving the unit when something happened. All this data can be seen and analyzed by the experts (Figure 7). Figure 6: AGV for an Aluminum Smelter. HENCON is secu ing the travel p th with a laser scanner partly encapsulated against electromagnetic radiation. According to the driving tasks, the scanners are set to different areas (i.e., for curves or detecting obstacles). In addition to the scanner, bumpers are installed. Bumper depth is approximately 200 mm, of which 30% response thr shold is appl cab e, 50% saf switching, 20% of the depth is not usable (Figure 6). As a warning to other road users: Blue spot and start-up warn ng observance of the DIN EN 1525 standard (safety of forklift trucks), vehicle control from fast PLC controller unit. There are also safety cards that process profisafe signals of the scanners safely. The software has been compiled for a specific and very fast CPU.

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