In metal additive manufacturing (AM), the material microstructure and part geometry are formed incrementally. Consequently, resulting could be defect- anomaly-free if sufficient care is taken to deposit each layer under optimal process conditions. Conventional closed-loop control (CLC) engineering solutions which sought achieve this were deterministic rule-based, thus in limited success stochastic environment experienced highly dynamic AM process. On other hand, emerging machine learning...

Laser Powder Bed Fusion is today used for the serial production of parts, e.g. in medical and aerospace markets. One major limitations comparatively low build rate process, which leads to productivity high costs when compared conventional processes. Current approaches such as use multi-laser systems help increasing but come at higher investment costs. Overall, limits number business cases hinders market uptake more cost-sensitive industries. This paper suggests a combined approach subsequent...

In the laser powder bed fusion of metals (PBF-LB/M), process simulation is a key factor to optimization manufacturing with reasonable amounts resources. While focus research lies on development approaches solve problem length scales when comparing spot parts dimension, conscientious modeling material applied provides an opportunity increase accuracy computational studies no significant in required Within this study, model commonly used Ti–6Al–4V alloy for thermo-mechanical at macro- and...

Abstract Our world is constantly facing a wide variety of social challenges – currently, issues such as climate change, security, demographic and resource conservation are significant importance show an acute need for action. Disruptive technologies, among other things, needed to tackle problems. Additive manufacturing (AM) regarded the ‘game changer / paradigm shift’ technology digital, automated production future key enabler ‘Production 2.0’.

Additive manufacturing is gaining importance in different industries, being on the verge to broad industrial application. Especially laser beam melting (LBM) of metals, support structures play a vital role successful production parts, since they are responsible for supporting overhanging features and preventing warpage. Today, these often massive lead high postprocessing effort removal surface finishing. Existing do not meet needs individual part, adding cost additive parts without even...

Abstract Laser powder bed fusion of metals (PBF-LB/M) is a process widely used in additive manufacturing (AM). It highly sensitive to its parameters directly determining the quality components. Hence, optimal are needed ensure highest part quality. However, current approaches such as experimental investigation and numerical simulation time-consuming costly, requiring more efficient ways for parameter optimization. In this work, use machine learning (ML) search investigated based on influence...

Abstract In automated vehicles, the collaboration of human drivers and systems plays a decisive role in road safety, driver comfort, acceptance vehicles. A successful interaction requires precise interpretation investigation all influencing factors such as state, system surroundings (e.g., traffic, weather). This contribution discusses detailed structure driver-vehicle interaction, which takes into account driving situation state to improve performance. The rules are derived from controller...

With increasing maturity of the laser powder bed fusion (PBF-LB/M) process, related products are becoming more complex. The conventional parts integrated into one design, requirements regarding local material properties arise. This concerns for instance with high demands temperature management. Here, different thermal conductivities within part enable control distribution as well direction heat flows. realization those poses a challenge, though, use multiple materials in PBF-LB/M is not...

Additive manufacturing (AM) and topology optimization (TO) emerge as vital processes in modern industries, with broad adoption driven by reduced expenses the desire for lightweight complex designs. However, iterative can be inefficient time-consuming individual products a large set of parameters. To address this shortcoming, machine learning (ML), primarily neural networks, is considered viable tool to enhance streamline AM processes. In work, (ML) model that generates parameterized...

Abstract Support structures are essential to laser powder bed fusion (PBF-LB/M). They sustain overhangs, prevent distortion, and dissipate process-induced heat. Their removal after manufacturing is required, though, increasing the overall costs. Therefore, optimization important increase economic efficiency of PBF-LB/M. To enable focused on support structures’ costs, a cost model developed. The whole production process, including design, manufacturing, post-processing part, considered by...

Laser powder bed fusion (PBF-LB/M) of metals belongs to the advanced additive manufacturing processes on brink industrialization. Successful often requires utilization support structures overhangs, dissipate heat, and prevent distortion due residual stresses. Since result in increased costs, research, as well industry, aim at optimizing application those or themselves. New approaches are validated with individual use cases, though, preventing an objective comparison optimization strategies....

The growing interest in carbon-fiber-reinforced-plastics (CFRP) leads to a rising demand for cost-efficient, alternative production methods, such as laser-remote-cutting. Since the cycle times, particularly automotive industry, represent significant cost factor, this paper presents method reducing heat-affected zone (HAZ) CFRP-laminate while maximizing cutting speed. In pursuing goal, paper, comparison is made between multi- and single-mode laser system. addition, simulation used investigate...

Lightweight materials such as carbon fiber reinforced plastics (CFRP) are becoming increasingly important. In order to make CFRP attractive for use in mass production, production costs have be reduced significantly. The method of laser remote cutting represents a wear-free and fast alternative conventional methods. Because the inhomogeneity laminates, varying number exposures is necessary along contour obtain complete separation. This paper provides measuring reflected radiation each...

Abstract Laser powder bed fusion (L-PBF) is currently the additive manufacturing process with widest industrial use for metal parts. Yet some hurdles persist on way to a widespread serial production, reproducibility of and resulting part properties being major concern. As geometry changes, so do local boundary conditions heat dissipation. Consequently, global, geometry-independent processing parameters, which are today’s state art, may result in varying or even defects. This paper presents...

Improving driver performance in critical driving situations is the key to increased road safety. In SAE Level 3 of automation, retained as a fallback situations. Once system reaches its limits, distracted must overtake task and responsible for present upcoming This contribution proposes new method impact by regulating driver's arousal level. The level determined detecting brain activity, proper auditory feedback issued reduce towards optimal value. suggested approach utilizes neurofeedback...

Abstract This paper presents a five-step design methodology to generate designs of biomimetic structural components from topology optimization results. In step one, all material allocated by is classified as either beam like structures or nodes an auxiliary model consisting preserved regions, cylindrical beams, and ball nodes, which abstraction the original result. two, exposed boundary conditions in finite element analysis. Then, internal forces, torsion, bending moments beams are...

Zusammenfassung Eine der zentralen Problemstellungen beim bedingt- und hochautomatisierten Fahren liegt in Gestaltung einer sicheren komfortablen Aufgabenübertragung zwischen dem automatisierten System menschlichen Fahrer vice versa. Dieser Beitrag stellt ein holistisches Modell zur Übergabe Übernahme von Fahraufgaben vor, welches über eine umfassende Fahrerbeobachtung anhand verschiedenen Sensoren Referenzsensoren an den Fahrerzustand angepasste ermöglichen soll. Konfliktsituationen...