Application of Hall effect for assessing grinding thermal damage

Teixeira, Patrícia H.O.; Rego, Ronnie; Pinto, Fabio Wagner; Gomes, Jefferson de Oliveira; Löpenhaus, Christoph

doi:10.1016/j.jmatprotec.2019.02.019

Cited by 14 publications

(5 citation statements)

References 10 publications

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“…Grinding temperature strongly depends on the grinding kinematics [Malkin 2008]. Grinding burn of the final workpiece can be detected by optical inspection, nital etching [Mayer 1999], Barkhausen noise analysis [Karpuschewski 2011;Thanedar 2017], X-ray diffractometry [Sinha 2016], or by using a Hall probe [Teixeira 2019]. Instead of directly measuring cost quantities and quality constraint values, process parameters such as force, power, and temperature can be used to infer on these values.…”

Section: Sensors For Cost and Constraint Measurementmentioning

confidence: 99%

Sensors as an Enabler for Self-Optimizing Grinding Machines

Maier¹,

Gittler²,

Weiss³

et al. 2019

MM SJ

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Today, an operator performs experiments to adaptively select grinding process parameters using observations, expert knowledge, and rules of thumb. Self-optimizing grinding machines cannot use operator observations and must therefore extract enough information out of the grinding process. In this study, a holistic sensor setup as foundation for self-optimizing machines are presented exemplarily for cup wheel grinding machines. In-process detection of grinding burn, based on temperature and gas measurements, is tested and compared. Afterwards, the influence of input variables such as feed rate and cutting speed on grinding cost, grinding burn, and surface roughness are investigated.

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Section: Sensors For Cost and Constraint Measurementmentioning

confidence: 99%

Sensors as an Enabler for Self-Optimizing Grinding Machines

Maier¹,

Gittler²,

Weiss³

et al. 2019

MM SJ

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show abstract

“…The importance of this issue is shown in [45], where a complete review was carried out on the detection of grinding burn. Moreover, in their work, Teixeira et al [46] propose an additional method for detecting thermal damage in ground parts, which reinforces the current need for thermal monitoring within the industry.…”

Section: Process Monitoringmentioning

confidence: 79%

Expectations and limitations of Cyber-Physical Systems (CPS) for Advanced Manufacturing: A View from the Grinding Industry

et al. 2020

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Grinding is a critical technology in the manufacturing of high added-value precision parts, accounting for approximately 20–25% of all machining costs in the industrialized world. It is a commonly used process in the finishing of parts in numerous key industrial sectors such as transport (including the aeronautical, automotive and railway industries), and energy or biomedical industries. As in the case of many other manufacturing technologies, grinding relies heavily on the experience and knowledge of the operatives. For this reason, considerable efforts have been devoted to generating a systematic and sustainable approach that reduces and eventually eliminates costly trial-and-error strategies. The main contribution of this work is that, for the first time, a complete digital twin (DT) for the grinding industry is presented. The required flow of information between numerical simulations, advanced mechanical testing and industrial practice has been defined, thus producing a virtual mirror of the real process. The structure of the DT comprises four layers, which integrate: (1) scientific knowledge of the process (advanced process modeling and numerical simulation); (2) characterization of materials through specialized mechanical testing; (3) advanced sensing techniques, to provide feedback for process models; and (4) knowledge integration in a configurable open-source industrial tool. To this end, intensive collaboration between all the involved agents (from university to industry) is essential. One of the most remarkable results is the development of new and more realistic models for predicting wheel wear, which currently can only be known in industry through costly trial-and-error strategies. Also, current work is focused on the development of an intelligent grinding wheel, which will provide on-line information about process variables such as temperature and forces. This is a critical issue in the advance towards a zero-defect grinding process.

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“…Yun et al 47 Molecular system dynamics Residual stress/titanium alloy/ belt grinding Molecular dynamics simulation precisely described metal deformation, energy dissipation and temperature. Teixeira et al 48 Hall effect Assessing thermal damages Combination of Hall effect method and micromagnetic theory is used to avoid the drawback of BN analysis, destructive methods, high cost and output variability due to external energy. Gao et al 49 54 Ansys simulation Micro-crack detection Higher-order strain mode was used as it is sensitive for detection of micro-cracks.…”

Section: Solid Lubricantmentioning

confidence: 99%

A comprehensive review on the grinding process: Advancements, applications and challenges

Kishore

Sinha

Singh

et al. 2022

Proceedings of the Institution of Mechanical Engineers, Part C:

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Grinding is a manufacturing process which significantly contributes in producing high precision and durable components required in numerous applications such as aerospace, defence and automobiles. This review article is focused to uncover history, witness the present and predict the future of the grinding process. While going through the literature, it has been observed that minimal work has been done in explaining the history, present status and future scopes of the grinding process. In this era of information and environmental awareness, sustainability aspects have become a primary concern of almost every research field. In the grinding process too, the research work includes ecological elements such as reducing the consumption of cutting fluids through minimum quantity lubrication, utilizing cryogenics, hybrid lubrication and cooling techniques that are still required to be explored critically. Further, some significant findings of the prevailing research in grinding include modification in grinding wheel surface, merging different grinding principles such as usages of the textured grinding wheel, ultrasonic grinding, 3D printing of grinding wheel and artificial intelligence in grinding are also presented. Another unascertained problem is the management of grinding swarf, which is being attended to by recycling it to fabricate composites which is expected to be another prominent domain of research. Further, the advancements taking place exhibit the potential of the grinding process, suggesting that its future is bright and ever-growing.

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Application of Hall effect for assessing grinding thermal damage

Cited by 14 publications

References 10 publications

Sensors as an Enabler for Self-Optimizing Grinding Machines

Sensors as an Enabler for Self-Optimizing Grinding Machines

Expectations and limitations of Cyber-Physical Systems (CPS) for Advanced Manufacturing: A View from the Grinding Industry

A comprehensive review on the grinding process: Advancements, applications and challenges

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