News Article | May 9, 2017
Painting in an immersion bath: Industrial water and paints can be sterilized with electric impulses. Credit: Photo: Eisenmann Most paints for households or industry are based on water and, hence, are environmentally more compatible than paints based on solvents. Water-based paints, however, have one drawback: Microorganisms, such as bacteria, feel very comfortable and spread. This also affects paint shops of automotive industry and other sectors. Sterilization of industrial water and paints with electric impulses is the objective of the DiWaL cooperation project funded by the Federal Ministry of Education and Research (BMBF). This project is coordinated by researchers of Karlsruhe Institute of Technology (KIT) and executed in cooperation with partners from research and industry. Whether brightly colored or classic gray or black: Before a car is painted, the body is cleaned, pre-treated, and provided with a corrosion-resistant coating by surface pre-treatment and electrophoretic immersion painting. The latter is an electrochemical process to produce a homogeneous paint coating by a DC voltage field in an immersion bath. "However, bacteria can reproduce well in the water and paints used and then adversely affect the quality of surface coating. To control these bacteria, biocides have been used so far. The new electric impulse technology works without chemical additives, reduces water consumption, and even contributes to water protection," says Dr. Wolfgang Frey of KIT's Institute for Pulsed Power and Microwave Technology, who coordinates the cooperation project "Dekontamination von industriellen Wässern und Lacken" (DiWaL, Decontamination of industrial water and paints). By means of electric impulses, cells or microorganisms are exposed to an electric field. The cell membrane is polarized, which means that electric poles form and aqueous pores open. This eventually results in the death of the microorganisms. This phenomenon is used on a large scale for the effective extraction of cell constituents and for killing microorganisms ("cold pasteurization"). As the electric impulses have a purely physical effect, bacteria are not expected to develop resistances, as they do in the case of biocides. "We control microbiological contamination and can achieve an optimum coating quality and prevent rework at the same time," Dr. Frey says. In automotive industry, painting of the body is the activity with the highest water consumption (up to 600 liters per car body). For this reason, the electric impulse technology is integrated into a new, automated, and resource-efficient water management and plant concept for pre-treatment and immersion painting developed by research and industry partners under DiWaL. By means of this process, the water cycle at the factory is optimized and freshwater consumption is to be reduced. Technical implementation focuses on the aspects of quality, costs, and the environment. The user perspective also is considered highly important. That is why DiWaL analyzes the requirements of the users as well as potential obstacles. The results will then be incorporated in design and technical development. DiWaL pools the expertise of partners from research (Karlsruhe Institute of Technology and Pforzheim University of Applied Sciences) and industry, namely, a plant manufacturer (Eisenmann SE), two paint producers (Emil Frei GmbH & Co. KG and PPG Deutschland Business Support GmbH) as well as an automotive manufacturer (BMW Group). The project focuses on both surface treatment for automotive industry (cathodic immersion painting) and applications for general industry, e.g. painting of industrial goods by anodic immersion painting. Technical, economic, and ecological framework conditions and requirements are taken into account.
Thimm H.,Pforzheim University
IEEE International Conference on Industrial Informatics (INDIN) | Year: 2017
It is possible to streamline corporate Environment, Health, and Safety (EH&S) duties through the use of workflow management technology. This approach requires a specification of workflow models that among others are composed of activities. A domain-specific workflow meta data model is proposed. The model consists of modelling concepts for the detection of failures of EH&S activities that already occurred and also failures that are likely to occur. A system concept is described that extends the usual data log of Workflow Management Systems (WMS) by data items for the detection of activity failures. Failure monitoring data together with typical EH&S regulation management data is stored in a common database. Through specialized queries against this database activity failures are detected and reported. This can help to prevent and to mitigate critical situations such as safety enforcement measures that are behind their deadlines. © 2016 IEEE.
Thimm H.,Pforzheim University
Lecture Notes in Informatics (LNI), Proceedings - Series of the Gesellschaft fur Informatik (GI) | Year: 2015
It is the ultimate goal of environmental compliance management to assure corporate compliance with given regulations. The work processes that are required to fulfill and maintain compliance are usually complex and long running processes that are composed of many interdependent human lead activities. Errors of human work activities and also material and equipment defects can lead to non-compliance. A monitoring framework is proposed that based on data entries of compliance officers can track compliance work processes and provide compliance officers with activity guidance. Mam activity failures can be detected through failure detection functions that analyze the activity log, failure indicators, and also external data. Based on the proposed framework environmental information systems can be extended towards actively responding systems that guide compliance officers and provide them with assistance for risk control tasks.
Thimm H.,Pforzheim University
Conference Proceedings - 2017 17th IEEE International Conference on Environment and Electrical Engineering and 2017 1st IEEE Industrial and Commercial Power Systems Europe, EEEIC / I and CPS Europe 2017 | Year: 2017
Environment, health, and safety (EHS) regulations require companies to frequently inspect their infrastructure and machinery equipment as well as to monitor their operations with respect to regulation compliance. When problems are discovered effective measures need to be determined and completed. This involves human-lead tasks that like compliance management tasks in general need to be completed carefully and reliably. The adoption of 'Internet-of-Things' (IoT) technologies will transform today's prevailing factory automation to a new level of automation with unprecedented possibilities. Our research targets to investigate these possibilities in order to develop next-generation compliance management systems. Unlike today's compliance management systems, these systems are expected to offer automation capabilities and smart assistance for compliance managers. The article introduces a conceptual framework for a corresponding system that makes use of IoT-enabled heterogeneous multi-monitoring data. The system uses data from a diverse set of classical monitoring devices and from business information systems. Through a rule-based approach the users can obtain compliance status information and advice for compliance enforcement actions. The framework is exemplified by describing typical monitoring data and decision rules. © 2017 IEEE.
Blankenbach K.,Pforzheim University |
IEEE/OSA Journal of Display Technology | Year: 2012
This paper compares the readability and color performance of LED- and laser-based head-up displays (HUDs) for various ambient light conditions. Using formal color models with reference to automotive standards, it is shown that HUDs employing laser sources exhibit superior performance in terms of readability and chromaticity compared to TFT-LCD systems based on white or RGB LEDs. © 2006 IEEE.
Lambrecht H.,Pforzheim University |
Thissen N.,Pforzheim University
Journal of Cleaner Production | Year: 2015
Material and energy flow analysis (MEFA) is used by many companies for sustainability assessments of their production systems. MEFA generally leads to large and complex system models for which optimal operating conditions are hard to find manually. This article therefore presents an extension of MEFA towards mathematical programming that provides powerful methods for system optimization. A theoretic concept for this methodological integration is developed, illustrated by means of a simplified example and finally applied to a case study of an industrial waste treatment scenario. Technical feasibility is thus demonstrated. Moreover, the algebraic transformation of material flow models into mathematical programs reveals, on a conceptual level, the basic principles of an optimization-oriented MEFA. © 2014 Elsevier Ltd. All rights reserved.
Schmidt M.,Pforzheim University
Chemical Engineering and Technology | Year: 2010
Resource efficiency in companies targets economic and efficient use of materials and energy in production. On the one hand, this aims to contribute towards sustainable development and, on the other hand, efficient use of resources can save costs and improve the competitiveness of a company. This aspect is becoming all the more important in the light of current developments in world market prices for natural resources. In Germany, the use of materials and energy currently accounts for about 46% of the gross value of goods manufactured by companies. It is known from various sources that the average potential for savings here is 10-15%. The material costs alone can be reduced by 2-3% through efficient management. The potentials for saving lie less in the individual technologies applied and more in the interplay within and between the complex production systems. That is why one key challenge facing the industry is to ascertain the hidden costs that are in fact linked with inefficiencies in a company. Analysis methods and approaches are necessary for this, such as for example the material and energy flow analysis. © 2010 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.
Moser A.K.,Pforzheim University
Journal of Consumer Marketing | Year: 2015
Purpose – The theory of planned behavior (TPB) served as a framework for identifying major antecedents of everyday green purchasing behavior and for determining their relative importance. Design/methodology/approach – The German market research institute GfK provided data (n = 12,113) from their 2012 household panel survey. A two-step structural equation modeling approach was applied to test both the measurement and the structural model. Findings – Willingness to pay (WTP) was the strongest predictor of green purchasing behavior, followed by personal norms. The impact of attitude is insignificant. This implies an attitude – behavior gap. Research limitations/implications – Individuals overestimate their self-reported WTP and behavior, which suggests that the share of explained variance is in reality lower. It has to be doubted whether consumers are objectively able to judge products by their environmental impact. Even if consumers are willing to buy a “greener” product, their subjective evaluation might be incorrect. Further research should be based on actual purchasing data. In addition, the attitude – behavior gap should be scrutinized by further research to identify further barriers to green consumption. Practical implications – Consumers need to be aware that their consumption behavior can make a difference. They have to value the benefits of green products and understand why these are priced higher. Firms can apply pricing and promotional strategies addressing personal norms and inducing a higher WTP to capitalize on the opportunities of the green market segment. Originality/value – The study integrates WTP and personal norms as critical predictors into the TPB and furthermore expands the extant literature on green purchasing behavior to cover daily consumer goods extending beyond organic food. This enhances understanding of the structure of the constructs and determines their relative importance. © 2015, Emerald Group Publishing Limited.
Weyer M.,Pforzheim University
International Journal of Production Research | Year: 2011
In the global automobile industry, the Hours-Per-Vehicle factor (HPV) is turning more and more into a key indicator for personnel productivity analysis of a production plant. HPV rankings are compiled and personnel goals are derived from comparison of HPV benchmarks. Besides program units and the budget, HPV is advancing to be one of the dominant controlling indicators. Against this background, there is an increasing demand for effective HPV controlling. The major task of such controlling is to ensure the required transparency for the influencing variables as well as to recommend measures to improve personnel productivity. In this context, HPV controlling is not just to be incorporated in the existing target and controlling landscape, but also into existing personnel productivity improvement processes. This article takes up these requirements and demonstrates approaches to a solution. Moreover, it describes the potential and also the limits of HPV applications. © 2011 Taylor & Francis.
Pforzheim University | Date: 2013-12-05
A system may receive filter coefficients defining a digital filter. The system may select a signal processing quality criterion which describes a transformation that can be derived from an image and further describes the reconstruction of the image that can be derived from the transformation. The system may determine a degree of optimization that quantifies the signal processing quality criterion with the received filter coefficients. The system may vary the filter coefficients to obtain varied filter coefficients. The system may establish the degree of optimization with the varied filter coefficients. The system may compare the determined degree of optimization with the established degree of optimization.