Development of a geometrical torque prediction method (GTPM) to automatically determine the relative torque for different tapping tools and diameters

Oezkaya, Ekrem; Biermann, Dirk

doi:10.1007/s00170-018-2037-3

Cited by 17 publications

(13 citation statements)

References 20 publications

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“…This allows a deeper insight in the load distribution, especially regarding the radial forces that are not directly measurable in the real tapping process, but can lead to a lateral deflection of the tool. In addition the forces on the (17) F E = K E ⋅ L (18) K E,rad = 32.599 − 0.65395 ⋅ v c first teeth of the guiding section are measured to get an insight on the occurring edge forces. It could be shown that radial forces on the first teeth of the guiding section decrease with increasing cutting speed.…”

Section: Discussionmentioning

confidence: 99%

“…However, since cutting simulation using FE-modelling is a challenging task and requires plenty of computing time, Oezkaya and Biermann use a segmented workpiece model to significantly reduce the simulation time for a single thread to 170 h [17]. To further reduce the high computing time the authors develop a geometrical torque prediction method based on the simulated forces to determine the relative torque for different tapping tools and diameters [18].…”

Section: State Of the Artmentioning

confidence: 99%

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Measuring and modelling of process forces during tapping using single tooth analogy process

Geßner¹,

Weigold²,

Abele³

2020

Prod. Eng. Res. Devel.

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For machining internal threads, tapping is a commonly used process. However, due to the complex geometry of the tapping tool, each tooth has a unique geometry resulting in individual forces. Since the forces act synchronously during the process, they partly compensate each other. However, since resulting forces in tapping can cause undesired deflection of the tool which can lead to threads that are not true to gauge or tool breakage, the knowledge of the forces is crucial. To predict the occurring forces on each tooth, different modelling approaches can be used. An approach based on the chip load-cutting force relationship is the mechanistic modelling. Therefore, a suitable force model is of central importance. An empirical force model can be established using an analogy process. Within this work a single tooth analogy process is presented to measure the forces of each tooth separately. By means of a geometrical analysis of the real tool, the chip sizes, such as the cross-section area of the undeformed chip are calculated. Merging the measured process forces from the analogy process and the actual chip sizes, an empirical force model is set up using multivariate regression. The model is validated by implementing it in an existing framework and comparing the results to experimental data.

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Section: Discussionmentioning

confidence: 99%

Section: State Of the Artmentioning

confidence: 99%

Measuring and modelling of process forces during tapping using single tooth analogy process

Geßner¹,

Weigold²,

Abele³

2020

Prod. Eng. Res. Devel.

View full text Add to dashboard Cite

show abstract

“…Moreover, currently industrial internet of things has being developed to manage the huge volume of these internal signals from spindle and feed drivers [8]. In this context, one of most used signals is the torque in some industrial monitoring systems because this signal is influenced by the geometry tool, material characteristics, machine specifications, movement control, and cutting conditions [9,10]. On the other hand, it is rewarding because these tools guarantee the safety of the process avoiding faults and the high level of product quality in manufacturing systems [11].…”

Section: Introductionmentioning

confidence: 99%

Oversizing Thread Diagnosis in Tapping Operation

Val¹,

Veiga²,

Penalva³

et al. 2021

Metals

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Automotive, railway and aerospace sectors require a high level of quality on the thread profiles in their manufacturing systems knowing that the tapping process is a complex manufacturing process and the last operation in a manufacturing cell. Therefore, a multivariate statistical process control chart, for each tap, is presented based on the principal components of the torque signal directly measured from spindle motor drive to diagnosis the thread profile quality. This on-line multivariate control chart has implemented an alarm to avoid defected screw threads (oversized). Therefore, it could work automatically without any operator intervention assessing the thread quality and the safety is guaranteed during the tapping process.

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“…and the thread quality. Currently, Oezkaya et al [15] have proposed the development of a geometrical torque prediction method to determine relative torque values for tapping processes with various tapping tools and diameters. The results have been validated with experimental tests.…”

Section: Introductionmentioning

confidence: 99%

Thread Quality Control in High-Speed Tapping Cycles

Val¹,

Veiga²,

Suárez³

et al. 2020

JMMP

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Thread quality control is becoming a widespread necessity in manufacturing to guarantee the geometry of the resulting screws on the workpiece due to the high industrial costs. Besides, the industrial inspection is manual provoking high rates of manufacturing delays. Therefore, the aim of this paper consists of developing a statistical quality control approach acquiring the data (torque signal) coming from the spindle drive for assessing thread quality using different coatings. The system shows a red light when the tap wear is critical before machining in unacceptable screw threads. Therefore, the application could reduce these high industrial costs because it can work self-governance.

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Development of a geometrical torque prediction method (GTPM) to automatically determine the relative torque for different tapping tools and diameters

Cited by 17 publications

References 20 publications

Measuring and modelling of process forces during tapping using single tooth analogy process

Measuring and modelling of process forces during tapping using single tooth analogy process

Oversizing Thread Diagnosis in Tapping Operation

Thread Quality Control in High-Speed Tapping Cycles

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