Process monitoring strategies allow wear-related conditions of forging dies to be detected and predicted. The prediction of the wear condition allows intelligent maintenance strategies. This allows residual tool life to be fully utilized, scrap to be reduced and downtime to be calculated. The content of this article is an economic analysis for calculating the payback period of a process monitoring system.
forging, process monitoring, economic efficiency
How can additively manufactured components be laser welded? Their layered structure makes the welding process more complicated than for conventionally produced parts. IPH and LZH are jointly researching how components can nevertheless be joined in a quality-assured manner.
Additive manufacturing, 3D printing, laser transmission welding, joining, quality
In manual solid forming, hand-guided forging tongs are used when processing forged parts. During the forging process, employees are physically stressed by high forging part weights and transmitted impacts. This physical stress leads to employee health limitations and increases absenteeism rates. Ergonomic forging tongs have been developed at IPH that lead to a relief of the forging employees.
ergonomics, forging tongs, forming technology, prevention
Factory planning, Artificial Intelligence Seel, A.; Kreutzjans, F.; Küster, B.; Stonis, M.; Overmeyer. L: Deep Reinforcement Learning Based UAV for Indoor Navigation and Exploration in Unknown Environments. In: 2022 8th International Conference on Control, Automation and Robotics (ICCAR), S. 388-393, DOI: 10.1109/ICCAR55106.2022.9782602.
Factory planning can increase the productivity of manufacturing significantly, though the process is expensive when it comes to cost and time. In this paper, we propose an Unmanned Aerial Vehicle (UAV) framework that accelerates this process and decreases the costs. The framework consists of a UAV that is equipped with an IMU, a camera and a LiDAR sensor in order to navigate and explore unknown indoor environments. Thus, it is independent of GNSS and solely uses on-board sensors. The acquired data should enable a DRL agent to perform autonomous decision making, applying a reinforcement learning approach. We propose a simulation of this framework including several training and testing environments, that should be used for developing a DRL agent.
drone, UAS, deep reinforcement learning
Aurich, P.; Böning, C.; Stonis, M.; Overmeyer, L.: Throughput Analysis for Layout Optimisation of Modular Conveyor Systems. In: Herberger, D.; Hübner, M. (Eds.): Proceedings of the Conference on Production Systems and Logistics: CPSL 2022. Hannover: Institutionelles Repositorium der Leibniz Universität Hannover, 2022, S. 329-329. DOI: https://doi.org/10.15488/12196.
In this paper, objective functions for the optimisation of modular conveyor systems will be introduced. Modular conveyor systems consist of conventional as well as modular conveyor hardware, which are arranged in form of matrix-like layouts. The aim of an ongoing research project is to provide small and medium-sized enterprises with a user-friendly decision support for the selection and planning of modular conveyor systems. For this purpose, the conveyor systems should be evaluated according to the objectives throughput and space requirement. Therefore, mathematical equations have been developed, which enable a fast and precise evaluation of layouts. The paper focuses mainly on the efficient calculation of the throughput. The result quality of the evaluation equations regarding the throughput was proven by a simulation of example systems.
modular conveyor, conveyor system evaluation, throughput analysis, layout optimisation, logistics
Industry 4.0, Production planning Müller, M.; Schüler, F.; Stonis, M.; Nyhuis, P.: Development of a Method for Decision Support on Participation in Capacity Sharing for Manufacturing SMEs. In: Herberger, D.; Hübner, M. (Eds.): Proceedings of the Conference on Production Systems and Logistics: CPSL 2022. Hannover : publish-Ing., 2022, S. 411-423. DOI: https://doi.org/10.15488/12197.
A volatile, non-transparent market environment leads to fluctuations in the load on production capacities in the manufacturing sector, which are reflected within production in the over- or underutilization of machines and persons. Small and midsized enterprises (SMEs) are expecting increasing volatility, which is accompanied by an increase in the frequency of market and economic cycles. For SMEs it is difficult to cope with these fluctuations. Capacity sharing platforms can be a solution for this challenge. Platforms are available in different forms, but not used by companies often, because of prevailing scepticism in different fields. Therefore, a methodology will be developed to provide a decision support for or against platform usage. Additionally, the platform type choice will be supported, and the changes of logistic and economic indicators will be considered. With this information companies can make a qualitative decision, and the existing inhibitions can be alleviated.
capacity sharing, decision support, supplier and consumer view, logistic and economic indicators
The results of the wear investigations will allow multidirectional processes in hot forging to be optimized in the future in a low-wear and economical manner. The determined, wear-inducing process parameters within the design guideline represent elementary basic knowledge which can be applied in a process-specific manner. In principle, the economic potential of multi-directional forging processes using of multi-directional forging processes using sliding dies depends on the application and the desired component geometries. Multi-directional forging processes forging processes offer great potential for savings and can be process design using the results obtained, they can achieve high tool life and have a positive influence on the competitive situation of companies. As a result costs for explicitly selected niche components with significantly higher with significantly increased complexity can be reduced in the future with manageable investment costs in the future. In addition to the process-specific optimization of the process parameters, in the future options for mold design adaptation with regard to local cooling or local cooling or thermal insulation of the slide-wedge wedge mechanics, in order to be able to use the systems in automated series automated series production.
Slide tools, process design, economic efficiency, solid forming
Progress is urgently needed in the energy transition - but there are always acceptance problems and lawsuits with renewable energies. In the project "WindGISKI", a geoinformation system based on artificial intelligence is to be developed, which addresses these issues. In a preliminary project, influencing factors within the area of conflict between species, environmental and climate protection have already been identified. An interdisciplinary team from science and industry is now taking the next step with the development of artificial intelligence.
wind energy, area selection, artificial intelligence
Additive manufacturing allows components to be manufactured flexibly. This manufacturing process is particularly suitable for products with a unique character. In the production of large components, which have previously been manufactured by casting, this offers the advantages of greater flexibility in design and the elimination of the need to build molds that are only used once for unique items. To manufacture large components additively, a consortium of five companies is developing a new 3D printer for XXL products. For quality assurance, IPH - Institut für Integrierte Produktion Hannover has implemented two monitoring systems. These capture the geometry using three laser line scanners and regulate the manufacturing process during printing using two different software systems.
XXL products, large components, additive manufacturing, 3D printing, quality control
Forming technology Budde, L.; Prasanthan, V.; Merkel, P.; Kruse, J.; Faqiri, Y.; Lammers, M.; Kriwall, M.; Hermsdorf, J.; Stonis, M.; Hassel, T.; Breidenstein, B.; Behrens, B.-A.; Denkena, B.; Overmeyer, L. Material dependent surface and subsurface properties of hybrid components. In: Production Engineering, doi: 10.1007/s11740-022-01128-9
Tailored forming is used to produce hybrid components in which the materials used are locally adapted to the diferent types of physical, chemical and tribological requirements. In this paper, a Tailored Forming process chain for the production of a hybrid shaft with a bearing seat is investigated. The process chain consists of the manufacturing steps laser hot-wire cladding, cross-wedge rolling, turning and deep rolling. A cylindrical bar made of mild steel C22.8 is used as the base material, and a cladding of the martensitic valve steel X45CrSi9-3 is applied in the area of the bearing seat to achieve the strength and hardness required. It is investigated how the surface and subsurface properties of the hybrid component, such as hardness, microstructure and residual stress state, change within the process chain. The results are compared with a previous study in which the austenitic stainless steel X2CrNiMo19-12 was investigated as a cladding material. It is shown that the residual stress state after hot forming depends on the thermal expansion coefcients of the cladding material.
Tailored forming, Residual stress, Laser hot-wire cladding, Deep rolling, Hybrid Components
The reorganization of factory objects in the restructuring of existing factories is associated with numerous challenges. This article provides an overview of possible conflicting goals and key factors influencing the success of the project.
Factories are subject to continuous change. Ever shorter development cycles in the manufacture of different products lead to an increased need for restructuring of affected manufacturing structures. In the context of factory planning projects, the focus is on the design of the layout under the influence of individual framework conditions. The relocation steps necessary for realization are usually determined only after the layout design has been completed. However, the planning and preparation of the relocation represents an independent project task with regard to the objectives and complexity. Within the scope of the research project on the "Development of a Method for the Optimal Planning of the Relocation of Factory Objects in the Course of the Realization of a New Factory Layout" (OptiFaU), fundamental interrelationships in the planning and execution of factory relocations are investigated and discussed with regard to their significance for the success of the project. The aim of the project is to provide planning persons (e.g. relocation service providers or factory planners) with a possibility to evaluate relocation alternatives.
relocation planning, project planning, scheduling, factory planning, reorganization
IPH has developed an algorithm for the automated design of rolling dies in the DFG project "Non-Circular Rolling". The researchers are using it to perform extensive parameter studies with a wide range of dies.
Non-circular rolling, cross wedge rolling, rolling dies, design, automation, algorithm
For more than half of the approximately 30,000 wind turbines in Germany, the 20-year EEG funding will end in the next ten years. It is still unclear what the optimal technical and economic strategies for end-oflife utilization might look like. The BMWK joint project „TransWind“ aims to analyze the end-of-life issue on a micro- and macro-level in a transdisciplinary manner to support stakeholders from politics, the wind industry, and the resource and recycling sector in the selection of end-of-life strategies.
wind turbines, end-of-life, ecology, dismantling, repowering, disassembly, recycling, XXL products
Forming technology Budde, L.; Biester, K.; Merkel, P.; Lammers, M.; Kriwall, M.; Hermsdorf, J.; Stonis, M.; Behrens, B.-A.; Overmeyer, L.: Investigation of the material combination 20MnCr5 and X45CrSi9-3 in the tailored forming of shafts with bearing seats. In: Production Engineering, DOI: 10.1007/s11740-022-01119-w.
The Tailored Forming process chain is used to manufacture hybrid components and consists of a joining process or Additive
Manufacturing for various materials (e.g. deposition welding), subsequent hot forming, machining and heat treatment. In
this way, components can be produced with materials adapted to the load case. For this paper, hybrid shafts are produced by
deposition welding of a cladding made of X45CrSi9-3 onto a workpiece made from 20MnCr5. The hybrid shafts are then
formed by means of cross-wedge rolling. It is investigated, how the thickness of the cladding and the type of cooling after
hot forming (in air or in water) afect the properties of the cladding. The hybrid shafts are formed without layer separation.
However, slight core loosening occurres in the area of the bearing seat due to the Mannesmann efect. The microhardness
of the cladding is only slightly efected by the cooling strategy, while the microhardness of the base material is signifcantly
higher in water cooled shafts. The microstructure of the cladding after both cooling strategies consists mainly of martensite.
In the base material, air cooling results in a mainly ferritic microstructure with grains of ferrite-pearlite. Quenching in water
results in a microstructure containing mainly martensite.
laser hot-wire cladding, cross-wedge rolling, hybrid components, cladding
Additive manufacturing makes it possible not only to attach RFID tags to identify components from the outside, but also to implement them directly in the component. Which processes are suitable – and to what extent can this process be automated?
Additive manufacturing, 3D printing, FDM, fused deposition modeling, identification, RFID
Product complexity and variant diversity increase the effort for the development of production processes at SMEs. As part of the IGF research project "Self-learning multi-stage quality monitoring processes for (laser) material processing" (AiF No.: 20419N), an expert system was therefore developed for manufacturing companies in the field of laser material processing. The expert system supports users in process control and quality prediction of new products and product variants .
laser material processing, expert system, machine learning
This article presents a method for superimposing vision constraints based on the principle of augmented reality. The method is based on an overlay of the actual operator's field of view with information from a reconstructed scene. The reconstructed scene is superimposed as a hologram only over the vision-restricting components. The presented method is divided into position determination, data transmission and visualization. These software components are presented in detail. In view of the later use of the system in an industrial truck, the real-time capability of the data transmission, the accuracy of the visualization and the robustness of the position determination are also investigated.
augmented reality, driver assistance system, forklift trucks, image processing, obstacle detection
Forming technology Schellenberg, D.; Plogmeyer, M.; Kruse, J.; Stonis, M.; Behrens, B.-A.; Bräuer, G.: Verschleißschutzschichten für das Halbwarmschmieden. In: ZWF – Zeitschrift für wirtschaftlichen Fabrikbetrieb, Walter de Gruyter GmbH, 116. Jg. (2021), H. 11, S. 806-809. DOI: 10.1515/zwf-2021-0178.
In the automotive and mechanical engineering industries, forged parts are used in many applications. The dies for the forged parts are subject to high wear during forging due to high forming forces and temperatures. In order to enable economical production operation, methods to reduce the wear in warm forging have been investigated. One promising method is the use of Diamondlike-Carbon (DLC) wear-resistant coatings.
Warm Forging, Coating, DLC, Wear
Factory planning, Automation Müller, M.; Stonis, M.; Nyhuis, P.: Development of a Method to identify a suitable Storage, Commissioning and Transport System by focussing on Automation, Versatility and Costs. In: Herberger, D.; Hübner, M. (Eds.): Proceedings of the 2nd Conference on Production Systems and Logistics (CPSL 2021). Hannover: Institutionelles Repositorium der Leibniz Universität Hannover, 2021, S. 616-626. DOI: 10.15488/11232.
Storage planning is an important element of the factory planning and a significant competitive factor in times of an increasing global market. The selection of a suitable storage, commissioning and transport system (sct system) is a major challenge for companies, because of the increasing number of new sct systems with different features. The level of automation and versatility of these systems are intransparent and the required level of both for a certain company is unknown. To identify the level of versatility of sct systems a method based on versatility characteristics assigned to the versatility enablers was developed. To determine the required versatility of sct systems for a particular company, a catalogue of change drivers was created. For the level of automation of sct systems, the requirements resulting from product characteristics and performance requirements of the warehouse were identified. The performance of the sct systems depends on the automation level, which can be set by influencing factors such as the degree of digitalization. The required level of automation must be determined by restrictions of the company and the identified possibilities of the systems. At the same time, it is required to consider the costs of the systems as well as their possible combinations. Therefore, to save costs, the aim is also to consider systems which do not fit perfectly to the required versatility and automation level for a company but are still at an acceptable level.
storage, commissioning and transport systems, automation and versatility
Additive Manufacturing Rathje, A.; Knott, A.-L.; Küster, B.; Stonis, M.; Overmeyer, L.: Einführung einer Insitu-Prozessüberwachung in der additiven Materialextrusion. In: ZWF – Zeitschrift für wirtschaftlichen Fabrikbetrieb, Walter de Gruyter GmbH, 116. Jg. (2021), H. 10, S. 707-710. DOI: 10.1515/zwf-2021-0156.
Additive manufacturing has established itself in medical technology, where complex and patient-specific products are manufactured. Since additive manufacturing processes are sensitive to changes in process parameters and environmental conditions, quality assurance is a key factor for production. This paper presents the approach for in-situ process monitoring in additive material extrusion.
Additive Manufacturing, 3D printing, Fused Deposition Modeling, quality control, machine learning