HMI Panel Research Articles

SOFT PVC COMPOUNDING EXTRUDER DESIGN

Polyvinyl chloride (PVC) is one of the most preferred thermoplastics in the world due to its compatibility with various additives. PVC products are examined in two groups soft and rigid. Sheath, insulation, and filling materials used in electrical cables are some of the common usage areas of soft PVC. In this study, a soft PVC compound extruder machine was designed and manufactured. The system consists of 6 components: powder feeding system, main rotor, discharge transfer screw system, pelletizer, pellet cooling (cooler) unit and main control panel (HMI). In the designed and produced machine, the temperature values can be entered into the HMI panel according to the desired formulation, and the temperatures of the desired sections can be controlled during the compound production using thermocouples. Heating is brought to the desired level using PID control with resistances, cooling with fans in the main screw area and water in the transfer area. During the compound production process, many values such as temperature and pressure values can be controlled from the material feeding section to the pelletizer section. The density of the soft PVC compound produced was measured as 1.475 gr/cm3 . The test sample was produced from PVC compound, which was produced via the compounder designed and manufactured in this study, with a laboratory-type extruder. Tensile and elongation tests were carried out according to the ISO 527-2 test method. As a result of the test, it was observed that produced soft PVC compound extended by 280%. As a result of the experiments, it has been determined that the designed and manufactured compounder machine produces the sheath, insulation and filling materials (Plasticized PVC) used in the electrical cables appropriately.

Development of machine steering with use of PLC as introduction to 4.0 Industry

Article was written in order to make an attempt at developing a simple steering system for numerically controlled machines, with use of virtual modelling environment and an actual driver together with HMI panel. It was made as a response to demand of centralized system for steering a smart factory containing many machines. In the article, creation of a simple single machine steering system was described, which can be upscaled to the entire production hall. Used steering in this case is setting of position in an absolute system, in which only 3 variables X, Y and Z are known, and the operator can perform a correction of location and speed. Obviously, in real conditions these values will be set by a different program - like a post processor generating G-code. Usage of one data communication server can allow integration of devices within one production, and this allow creation of a smart factory suitable for 4.0 industry. In order to obtain such communication, an OPC server was used. Furthermore, the process of creating and connecting machines or programs to it was briefly presented.

An optimization strategy for HMI panel recognition of CNC machines using a CNN deep-learning network

This paper suggests an optimization strategy to train a CNN deep-learning network, which successfully recognizing working status on the HMI panels of CNC machines. To verify the developed strategy, the research experiments using a prototype that consists of a CNC milling machine and an industrial robot. In the optimization strategy, the research first defines a length-varying hyperparameter list for the deep-learning network, and the entities in the list adjust themselves to optimize the model scales. During the optimization process, this paper adopts a two-stage training scheme that gradually augments image datasets to improve HMI control-panel recognition performances, such as recognition accuracy and recognition speed to identify the CNC machine working status. Using an open-source PyTorch platform, this research establishes a cloud-based distributed architecture to build training codes for the deep-learning network, in which an applicable optimization model is deployed to recognize the CNC control-panel working status. The optimization strategy employs minimal codes to rebuild the architecture and the least efforts to reform the manufacturing system. The optimally trained model provides up to a 99.34% CNC panel-message recognition accuracy and a high-speed recognition of 100 images in 0.6 s. Moreover, the developed optimization strategy enables the prediction of necessitated dataset augmentation to training a practically implemented CNN network.

Innovation exemplified

Leonhard Kurz’ HMI panel sets new standards: attractive design meets advanced technology. The company from Fürth, Germany, promotes human-machine interaction with a sophisticated operating display

Controller Design and Experimental Validation of a Solar Powered E-bike Charging Station

Electric Vehicles (EV) have gained interest over the past decade. Because of this, to support EV technology installation of charging stations are required. Charging EVs from renewable energy provides a sustainable means of transport. E-bikes can help mitigate some mobility problems, particularly in large cities and metropolitan areas. This paper shows the development and implementation of a solar e-bike charging station with photovoltaic production, with energy storage system. The implemented system has a centralized control and allow an efficient management of the various resources and contemplates the possibility of four simultaneous e- bikes where user identification is performed by RFID. Finally, it is provided a user interface through an HMI panel and a web page where it will be possible to access the DataLog to consult the user activity and all charging parameters.
 Keywords: Renewable energy, Solar charging station, Programmable logic controller

Capabilities of Local and Remote Monitoring and Control of Equipment Used in Marine Ship Industry

Abstract This article presents two aspects regarding marine equipment control and monitoring. The first one is the issue of remote and local control in the maritime and land industry. The second is the economical and efficient use of redundant devices. This article describes the structure of remote control implemented on vessels. Paper presents an idea of control that combines remote and local control to provide optimal use of redundant devices with simultaneous increase of system reliability. The whole concept is shown on the built physical model with the control and operator panels. The control was implemented using freely programmable controller and HMI panel.

Problems of integration of a manufacturing system with the business area of a company on the example of the Integrated Manufacturing Systems Laboratory

The paper presents issues related to data acquisition and communication between the manufacturing system and the business area of a company, understood as the transmission of real-time information about the status of the production system (the state of equipment, production tasks, workers, the flow of materials, work in progress and products), and, production orders, which is the basis of the Industry 4.0 concept. Data can be acquired from various sensors, PLCs and automatic identification systems, through interfaces (e.g. IO-Link, OPC, MTConnect), providing translation of data between different producer’s equipment and software. The article presents assumptions, concept, interfaces, as well as hardware and software equipment of the Integrated Manufacturing Systems Laboratory, allowing research and teaching of integration of production and business areas. Laboratory workstations equipped with PLCs (3 different producers), sensors (e.g. distance, proximity, colour, position), actuators, HMI panels, hardware interfaces, RFID readers, barcode readers and vision systems, interfacing through OPC, IO-Link or Profinet with SCADA and other IT systems have been presented. An example of systems integration has also been presented.

Audio-Tactile Feedback Mechanisms for Multi-Touch HMI Panels of Production Engineering Systems

Over the last decade, touch screen interaction has been gaining wide acceptance in information technology and daily consumer products. Accordingly, first approaches to applications and devices for production engineering systems are now entering the market. Although they employ intuitive user concepts, touch screens for industrial HMI panels still lack haptic feedback. Since operators observes the machining process and machine handling is often done blind, false handling or wrong input signalsmay damagemachines or injure human workers. With this in mind, this paper presents a haptic feedback mechanism for touch-based interaction. A user evaluation performed on the developed system unveils increasing input security and thus an enhanced user experience.