A Review on Additive Manufactured Sensors

Choudhary, Harshvardhan; Vaithiyanathan, D.; Kumar, Harish

doi:10.1007/s12647-020-00399-w

Cited by 23 publications

(14 citation statements)

References 54 publications

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“…In navigation [43], contour maps are used to represent risk regions and safe navigation routes. In additive manufacturing [44][45][46][47], contour maps are used to describe the details of the model to be 3D printed.…”

Section: Introductionmentioning

confidence: 99%

Bearing Severity Fault Evaluation Using Contour Maps—Case Study

et al. 2021

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Increasing industrial competitiveness has led to an increased global interest in condition monitoring. In this sector, rotating machinery plays an important role, where the bearing is one of the most critical components. Many vibration-based signal treatments are already being used to identify features associated with bearing faults. The information embedded in such features are employed in the construction of health indicators, which allow for evaluation of the current operating status of the machine. In this work, the use of contour maps to represent the diagnosis map of a bearing, used as a health map, is presented for the first time. The results show that the proposed method is promising, allowing for the satisfactory detection and evaluation of the severity of bearing damage. In this initial stage of the research, our results suggest that this method can improve the classification of bearing faults and, therefore, optimise maintenance processes.

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Section: Introductionmentioning

confidence: 99%

Bearing Severity Fault Evaluation Using Contour Maps—Case Study

et al. 2021

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“…A biosensor based on biomarker detection has been developed for this purpose. Myoglobin, interleukin-1, interleukin-6, tumor necrosis factor-alpha, lowdensity lipoprotein, lipoprotein-associated phospholipase, troponin I or T, C-reactive protein, and myeloperoxidase are Facile multi-material printing 14 Acceptable strength and stiffness 14 High resolution 15 Widely commercially available Potential to process both amorphous and crystalline polymers 15…”

Section: Why Biosensing Based Methodsmentioning

confidence: 99%

“…Poor surface finishing 14 or mechanical properties compared to injection molded parts 15 Slow building process 14 Poor mechanical properties 15 Limitation in size 14 Post-processing treatments needed (surface polishing, heat treatments) 15 examples of cardiac biomarkers. 23 Although blood is the most widely used biological fluid for diagnostic applications, its collection and sampling is both invasive and painful.…”

Section: Disadvantages Time Consuming Due To Curing and Refill Intervalsmentioning

confidence: 99%

A review of 3D printing technology for rapid medical diagnostic tools

Shakibania

Kılıç

Ghazanfari

et al. 2022

Mol. Syst. Des. Eng.

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“…With the help of advanced simulation tools and the digital twins, manufacturers can test their assumptions in the virtual world first before implementing or testing them in the physical world. New Industry 4.0 technologies help to boost the lean continuous improvement approach (Leong et al , 2020; Choudhary et al , 2020).…”

Section: Relationship Between Industry 40 and Lean 40mentioning

confidence: 99%

Exploring relationships between Lean 4.0 and manufacturing industry

Javaid

Haleem

Singh

et al. 2021

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Purpose Over the past few decades, lean manufacturing has focussed on being customer-centred and now Lean 4.0 technologies have made it possible for manufacturers to have a deeper view of waste reduction. Technologies such as the internet of things, artificial intelligence, three-dimensional printing, robotics, real-time data, cloud computing, predictive analytics and augmented reality, are helpful to achieve Lean 4.0. This study aims to develop the conceptual understanding of Lean 4.0, related tools and linkage with Industry 4.0. Further, it provides the strategies for implementing Lean 4.0, developing lean culture and highlights the Lean 4.0 application in the manufacturing context. Design/methodology/approach This study relates to Lean 4.0 and its technologies. Prominent research is identified through Scopus, Web of Science, ScienceDirect and Google Scholar and studied as per the objective of this study. This lean revolution provides customers desire for personalisation, connectedness, high-quality and valuable products. Lean 4.0 provides valuable information on the value chain and production process. This revolution has significantly impacted refining production processes for a greater level of adaptability and cost reduction. Findings This paper is brief about Lean 4.0 and its capabilities for the reduction of waste. The authors discussed different tools used in Lean 4.0 and its relationship with Industry 4.0. The classical strategies and progressive features of Lean 4.0 for overall enhancing the manufacturing sphere are discussed diagrammatically. Finally, it identified and discussed 14 significant applications of Lean 4.0 for manufacturing industries. Originality/value This study provides a comprehensive understanding of Lean 4.0 and related tools and strategies that help the upcoming manufacturing industries.

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A Review on Additive Manufactured Sensors

Cited by 23 publications

References 54 publications

Bearing Severity Fault Evaluation Using Contour Maps—Case Study

Bearing Severity Fault Evaluation Using Contour Maps—Case Study

A review of 3D printing technology for rapid medical diagnostic tools

Exploring relationships between Lean 4.0 and manufacturing industry

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