Controlling the sensor properties of smart structures produced by metal forming

Krech, Martin; Trunk, Andreas; Groche, Peter

doi:10.1016/j.proeng.2017.10.906

Cited by 5 publications

(14 citation statements)

References 4 publications

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“…Process control by in-situ measurement and processing of joining forces A first control approach was implemented and evaluated. An improvement in accuracy of around 65 % compared to the uncontrolled process could be achieved [4].…”

Section: Fig 5 Validation Of Forces Of the Numerical Modelmentioning

confidence: 97%

“…Ongoing investigations have proven an occurring time slot in which an interference of the joining process is possible. Process parameters such as infeed speed and mandrel force can be adapted online and influence the force course into the desired direction (c) [4]. Fig.…”

Section: Fig 5 Validation Of Forces Of the Numerical Modelmentioning

confidence: 99%

“…9. Wireless sensory bending bar to improve strength and dexterity [4] In this example, four linear strain gauges arranged at an angle of 90 degrees are attached to the deformation element. The strain gauges are wired in quarter-bridge individually and the resulting bending moment is calculated.…”

Section: Example Applicationmentioning

confidence: 99%

See 2 more Smart Citations

D6.1 - Robust force and torque measurements by integrated sensors in hollow shafts

Krech¹,

Groche²

2017

Proceedings Sensor 2017

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Section: Fig 5 Validation Of Forces Of the Numerical Modelmentioning

confidence: 97%

Section: Fig 5 Validation Of Forces Of the Numerical Modelmentioning

confidence: 99%

See 1 more Smart Citation

D6.1 - Robust force and torque measurements by integrated sensors in hollow shafts

Krech¹,

Groche²

2017

Proceedings Sensor 2017

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“…The importance of sensor characteristics for sensing and capturing the data about the subject and its surroundings plays a vital role in developing effective and intelligent mobility initiatives [ 52 , 53 , 54 , 55 ]. The impact of external environments on the performance of the sensors is an essential field of study, as discussed in [ 56 , 57 ]. The materials used in the development of sensors also play an important role in deciding their usage and life [ 57 ].…”

Section: Research Progress In Smart Mobility and Gap Analysismentioning

confidence: 99%

“…The impact of external environments on the performance of the sensors is an essential field of study, as discussed in [ 56 , 57 ]. The materials used in the development of sensors also play an important role in deciding their usage and life [ 57 ].…”

Section: Research Progress In Smart Mobility and Gap Analysismentioning

confidence: 99%

Enabling Technologies for Urban Smart Mobility: Recent Trends, Opportunities and Challenges

Paiva

Ahad

Tripathi

et al. 2021

Sensors

209

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The increasing population across the globe makes it essential to link smart and sustainable city planning with the logistics of transporting people and goods, which will significantly contribute to how societies will face mobility in the coming years. The concept of smart mobility emerged with the popularity of smart cities and is aligned with the sustainable development goals defined by the United Nations. A reduction in traffic congestion and new route optimizations with reduced ecological footprint are some of the essential factors of smart mobility; however, other aspects must also be taken into account, such as the promotion of active mobility and inclusive mobility, encouraging the use of other types of environmentally friendly fuels and engagement with citizens. The Internet of Things (IoT), Artificial Intelligence (AI), Blockchain and Big Data technology will serve as the main entry points and fundamental pillars to promote the rise of new innovative solutions that will change the current paradigm for cities and their citizens. Mobility-as-a-service, traffic flow optimization, the optimization of logistics and autonomous vehicles are some of the services and applications that will encompass several changes in the coming years with the transition of existing cities into smart cities. This paper provides an extensive review of the current trends and solutions presented in the scope of smart mobility and enabling technologies that support it. An overview of how smart mobility fits into smart cities is provided by characterizing its main attributes and the key benefits of using smart mobility in a smart city ecosystem. Further, this paper highlights other various opportunities and challenges related to smart mobility. Lastly, the major services and applications that are expected to arise in the coming years within smart mobility are explored with the prospective future trends and scope.

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Methods and Technologies for Mastering Uncertainty

Groche

Abele

Groche

et al. 2021

Springer Tracts in Mechanical Engineering

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Uncertainty affects all phases of the product life cycle of technical systems, from design and production to their usage, even beyond the phase boundaries. Its identification, analysis and representation are discussed in the previous chapter. Based on the gained knowledge, our specific approach on mastering uncertainty can be applied. These approaches follow common strategies that are described in the subsequent chapter, but require individual methods and technologies. In this chapter, first legal and technical aspects for mastering uncertainty are discussed. Then, techniques for product design of technical systems under uncertainty are presented. The propagation of uncertainty is analysed for particular examples of process chains. Finally, semi-active and active technical systems and their relation to uncertainty are discussed.

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Controlling the sensor properties of smart structures produced by metal forming

Cited by 5 publications

References 4 publications

D6.1 - Robust force and torque measurements by integrated sensors in hollow shafts

D6.1 - Robust force and torque measurements by integrated sensors in hollow shafts

Enabling Technologies for Urban Smart Mobility: Recent Trends, Opportunities and Challenges

Methods and Technologies for Mastering Uncertainty

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