On-machine and in-process surface metrology for precision manufacturing

Machine tools for large parts

Modern solar energy harnessing technology demands high grade energy to achieve efficient power generation with compact plant size and least payback period. But readily available solar energy is low grade energy. Concentrated Solar Power (CSP) technology is capable to cater the demand. Reflector or mirror in CSP contributes 50% of total cost of installation, hence huge initial investment and high life cycle costs are the major challenges associated with such plants. Moreover due to adverse service conditions and environmental impacts, it gets degraded early, causing substantial drop in efficiency and consequently reduction in life cycle. Fresnel lens as solar concentrator in Photovoltaic/Thermal (PV/T) applications may prove to be a promising alternative due to its potential to overcome techno-commercial constraints associated with conventional reflector based CSP. A critical review covering global CSP deployment, operational requirement and failure mechanism in mirrors/reflectors is being presented. As an alternative, design considerations of Fresnel lens and its effect on various efficiencies, reflectance, transmittance and associated losses are discussed. Learning from early research work, innovative and emerging trends, economics, challenges and advantages are also presented.

Fresnel lens: A promising alternative of reflectors in concentrated solar power

Welding is a very complex process in which the final weld quality can be affected by many process parameters. In order to inspect the weld quality and detect the presence of various weld defects, different methods and systems are studied and developed. In this paper, a laser-based vision system is developed for non-destructive weld quality inspection. The vision sensor is designed based on the principle of laser triangulation. By processing the images acquired from the vision sensor, the geometrical features of the weld can be obtained. Through the visual analysis of the acquired 3D profiles of the weld, the presences as well as the positions and sizes of the weld defects can be accurately identified and therefore, the non-destructive weld quality inspection can be achieved.

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A Laser-Based Vision System for Weld Quality Inspection

Recent developments in manufacturing processes and automation have led to the new industrial revolution termed “Industry 4.0”. Industry 4.0 can be considered as a broad domain which includes: data management, manufacturing competitiveness, production processes and efficiency. The term Industry 4.0 includes a variety of key enabling technologies i.e., cyber physical systems, Internet of Things, artificial intelligence, big data analytics and digital twins which can be considered as the major contributors to automated and digital manufacturing environments. Sustainability can be considered as the core of business strategy which is highlighted in the United Nations (UN) Sustainability 2030 agenda and includes smart manufacturing, energy efficient buildings and low-impact industrialization. Industry 4.0 technologies help to achieve sustainability in business practices. However, very limited studies reported about the extensive reviews on these two research areas. This study uses a systematic literature review approach to find out the current research progress and future research potential of Industry 4.0 technologies to achieve manufacturing sustainability. The role and impact of different Industry 4.0 technologies for manufacturing sustainability is discussed in detail. The findings of this study provide new research scopes and future research directions in different research areas of Industry 4.0 which will be valuable for industry and academia in order to achieve manufacturing sustainability with Industry 4.0 technologies.

Industry 4.0 Technologies for Manufacturing Sustainability: A Systematic Review and Future Research Directions

A technique for intrinsic and extrinsic calibration of a laser triangulation sensor (LTS) integrated in an articulated arm coordinate measuring machine (AACMM) is presented in this paper. After applying a novel approach to the AACMM kinematic parameter identification problem, by means of a single calibration gauge object, a one-step calibration method to obtain both intrinsic―laser plane, CCD sensor and camera geometry―and extrinsic parameters related to the AACMM main frame has been developed. This allows the integration of LTS and AACMM mathematical models without the need of additional optimization methods after the prior sensor calibration, usually done in a coordinate measuring machine (CMM) before the assembly of the sensor in the arm. The experimental tests results for accuracy and repeatability show the suitable performance of this technique, resulting in a reliable, quick and friendly calibration method for the AACMM final user. The presented method is also valid for sensor integration in robot arms and CMMs.

/pdf/modelling-and-calibration-technique-of-laser-triangulation-4yc5htc6oh.pdf

Modelling and Calibration Technique of Laser Triangulation Sensors for Integration in Robot Arms and Articulated Arm Coordinate Measuring Machines

The research trend in additive manufacturing (AM) has evolved over the past 30 years, from patents, advances in the design, and layer-by-layer materials, to technologies. However, this evolution is faced with some barriers, such as the implementation of additive manufacturing (AM) in operations, its productivity limitations, and economic and social sustainability. These barriers need to be overcome in order to realize the full potential of AM. The objective of this study is to analyze the bibliometric data on these barriers through a systematic review in two study areas: business model innovation and sustainability in AM from Industry 4.0 perspective. Using the most common keywords in these two study areas, we performed a search on the Web of Science (WoS) and Scopus databases and filtered the results using some inclusion and exclusion criteria. A bibliometric analysis was performed for authorship productivity, journals, the most common keywords, and the identified research clusters in the study areas. For the bibliometric analysis, the BIBEXCEL software was used to extract the relevant information, and Bibliometrix was used to determine the research trend over the past few years. Finally, a literature review was performed to identify future trends in the study areas. The analysis showed evidence of the relationship between the study areas from a bibliometric perspective and areas related to AM as an enabler for Industry 4.0.

Systematic Literature Review: Integration of Additive Manufacturing and Industry 4.0

Large range nanopositioning stage design: A three-layer and two-stage platform

https://orbit.dtu.dk/files/9809585/G_Tosello_et_al_2012_Annals_of_CIRP_Vol_61_1_535_538_postprint.pdf

J.A. Albajez

Papers

Modelling and Calibration Technique of Laser Triangulation Sensors for Integration in Robot Arms and Articulated Arm Coordinate Measuring Machines

Systematic Literature Review: Integration of Additive Manufacturing and Industry 4.0

Large range nanopositioning stage design: A three-layer and two-stage platform

Surface wear of TiN coated nickel tool during the injection moulding of polymer micro Fresnel lenses

Volumetric Error Compensation Technique for 3D Printers