Since the beginning of lean production there have been two implementation waves. The first one failed as manufacturing companies implemented methods of lean production isolated from each other, whereas in the second w...
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Since the beginning of lean production there have been two implementation waves. The first one failed as manufacturing companies implemented methods of lean production isolated from each other, whereas in the second wave these companies learned from this experience. Ever since then lean production has been used for production organization and waste reduction but has not evolved, even though markets are more demanding due to individualization and volatility. Digitalization offers methods to adapt lean production to such aggravated market conditions by expanding its abilities. Therefore, digitalization has the potential to initiate a third wave within the philosophy of lean production.
In this paper, quasi-isotropic basalt fiber reinforced polyamide PA6 was joined to aluminum sheets using three different joining technologies. The joints were manufactured by means of nut and bolt (NAB) as well as two...
In this paper, quasi-isotropic basalt fiber reinforced polyamide PA6 was joined to aluminum sheets using three different joining technologies. The joints were manufactured by means of nut and bolt (NAB) as well as two-piece hollow riveting (TPHR) as current state of the art processes. Furthermore, additional joints were established by the new inductive contact joining (ICJ) technology. The obtained specimens were compared by means of tensile shear tests and by analysis of the fractured surfaces. It was found that the joints produced by ICJ are superior in comparison to joints manufactured by TPHR with regard to joint strength. In addition, during ICJ, the fibers of the polymer material are not damaged and the strength of the base material is maintained. Further optimization potential of the ICJ process was discovered during the investigations, so that potentially higher joint strengths as well as shorter process times can be expected, making the process interesting for future industrial applications.
The amount of data generated in production systems increases continuously due to the integration of cyber-physical systems and additional sensors. This data contains potentially useful knowledge that can be used to im...
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The amount of data generated in production systems increases continuously due to the integration of cyber-physical systems and additional sensors. This data contains potentially useful knowledge that can be used to improve production processes and product quality. machine learning algorithms offer the potential of improvements for quality assurance. However, companies often do not have the necessary know-how to extract this knowledge. This publication therefore presents a service-based system for optical quality assurance using machine learning algorithms. The intelligent cloud service is tested and validated by an industrial use case for transparent injection molded parts.
The presented study deals with the performing and mechanical testing of single pass hybrid laser-arc welds (HLAW) on 25 mm thick plates made of steel grade S355J2. One of the challenges have to be solved at full penet...
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The presented study deals with the performing and mechanical testing of single pass hybrid laser-arc welds (HLAW) on 25 mm thick plates made of steel grade S355J2. One of the challenges have to be solved at full penetration HLAW of thick plates is the drop formation occurring due to the disbalances of the forces acting in the keyhole and on the melt pool surface. Such irregularities mostly limit the use of high-power laser beam welding or HLAW of thick-walled constructions. To overcome this problem, an innovative concept of melt pool support based on generating Lorentz forces in the weld pool is used in this work. This method allows to perform high quality welds without sagging even for welding of 25 mm thick plates in flat position at a welding speed of 0.9 m min -1 . For the obtain of full penetrated welds a laser beam power of 19 kW was needed. A high V-impact energy of up to 160 J could be achieved at the test temperature of 0 °C. Even at the most critical part in the weld root an impact energy of 60 J in average could be reached. The tensile strength of the weld reaches that of the base material. An introduce of the HLAW process with electromagnetic support of the melt pool in the industrial practice is an efficient alternative to the time- and cost-intensive arc-based multi-layer welding techniques which are established nowadays for joining of thick-walled constructions.
Digitalisation offers ways as well as means for manufacturers to adapt their production systems to handle diversifying and rapidly changing market demands. Yet, small and medium sized enterprises are often overwhelmed...
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Digitalisation offers ways as well as means for manufacturers to adapt their production systems to handle diversifying and rapidly changing market demands. Yet, small and medium sized enterprises are often overwhelmed by the speed of development of ICT solutions as well as ICT business schemes. This paper discusses how tools of the Digital Factory enable decision-makers to assess digitalisation measures during the planning process to take full advantage of newly available technologies. Potentials and prerequisites for the application of available tools are argued and illustrated considering an in-depth example on the simulation of an automotive supplier’s tool management process.
Given the increasingly volatile prices on the power markets, it becomes economically more and more important for companies to develop and realize flexible strategies for energy consumption. A steady adaption of produc...
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Given the increasingly volatile prices on the power markets, it becomes economically more and more important for companies to develop and realize flexible strategies for energy consumption. A steady adaption of production processes which considers current power prices can take place on several levels of the automation pyramid, where each level has its own characteristics and requirements. In this paper, we present an optimization architecture based on an IT-platform which meets the challenges of complex multilayered production processes. We introduce layer-specific optimization strategies as well as an associated information flow, which facilitates creating holistic and well-coordinated optimizations.
The precision as well as the production rate of machinetools are starkly dependent on thermal issues. In order to minimize this influence, manufacturers are bound to warm-up procedures before production can begin, so...
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The precision as well as the production rate of machinetools are starkly dependent on thermal issues. In order to minimize this influence, manufacturers are bound to warm-up procedures before production can begin, so that the machine tool thermal state has stabilized. On the other hand, design optimization and cooling techniques cannot eliminate all errors and call for higher investment costs for the machine tool user. Either through acquiring a new, thermally stable machine or through higher energy consumption, these measures are also not always applicable. Hence, it remains the task for a mechatronic system to capture as much information as possible about the thermal state of the machine tool and take corrective measures during production. A novel mechatronic system that measures directly the thermally induced deformations has been developed to fulfil this task. The measurement uncertainty, as well as the reliability of this mechatronic system are the two crucial properties that define whether this can be applied successfully in the industry. This paper summarizes the investigations on the measurement uncertainty of the proposed system, both analytical and experimental. The functionality of the system was verified on a second test rig, as well as on a vertical machining center, which build the basis for future reliability analyses.
The “2020 climate and energy package” enacted by the EU aims to reduce emission of greenhouse gases, to increase the share of renewable energy and to improve overall energy efficiency. These goals are forwarded to t...
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Deformation at high strain rates in combination with local thermal softening can lead to the formation of so-called adiabatic shear bands. These shear bands occur when the macroscopic deformation is concentrated in mi...
Deformation at high strain rates in combination with local thermal softening can lead to the formation of so-called adiabatic shear bands. These shear bands occur when the macroscopic deformation is concentrated in microscopic areas. The fundamental thermomechanical processes and micromechanical mechanisms acting during adiabatic shear band formation are not fully understood yet. In particular, the influence of different initial microstructures on shear band formation has not sufficiently clarified. In an earlier investigation, adiabatic shear bands formed in a β-titanium alloy with different initial microstructures were characterized in detail. It was shown that different volume fractions of the α-phase result in the formation of different types of shear bands. In the present study, a simple modeling approach based on the finite element (FE) method is used to investigate in a systematic parameter study (with a special focus on mechanical and thermal variables) how these different types of adiabatic shear bands can occur in the same material. The FE simulations clearly show that microstructural characteristics – such as size and volume fraction of the α-phase in the β-titanium alloy – have a strong influence on shear band formation. This study contributes to a more detailed understanding of the microstructural and thermomechanical mechanisms leading to the formation of different types of adiabatic shear bands in titanium alloys.
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