Quality control of rolled threads

Khostikoev, M.Z.; Mnatsakanyan, V. U.; Temnikov, V. A.; Maung, Wei Pyu

doi:10.3103/s1068798x15020100

Cited by 3 publications

(3 citation statements)

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“…The rolled threads had lower surface roughness parameter values, that is, better surface finish and quality, consistent with previous studies. 21,28,41,42 The surface finish was mainly influenced by the residual compressive stresses on the thread surface by the rolling process, found to be larger than the ones left by cutting. 25,31 Using synchrotron radiation to evaluate surface properties should improve the quality of the data and allow the extrapolation of stress more accurately.…”

Section: Discussionmentioning

confidence: 98%

“…26 Furthermore, as no material is removed, good grain flow is obtained, 21,27 improving surface quality. 22,28 Consequently, rolled threads have been reported to provide better fatigue results than cut threads. [29][30][31] Even though rolled threads are widely used in general industry, 21,24,29 they are less common in threaded prosthetic components, possibly because of the small screw sizes.…”

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confidence: 99%

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Fatigue performance of prosthetic screws used in dental implant restorations: Rolled versus cut threads

Armentia

Abasolo

Coria

et al. 2021

The Journal of Prosthetic Dentistry

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Dental implants are widely used to replace missing teeth. 1 In direct-to-implant restorations, implant and abutment are joined by the preload obtained through the tightening torque applied to the prosthetic screw 2 as illustrated in Figure 1, providing the necessary structural integrity to the restoration. [3][4][5][6][7][8] The recommended torque value is provided by manufacturers based on different implant design factors. 9 Clinical studies suggest that the failure of implant restorations is often induced by fatigue because of the variable load conditions during their life span. [10][11][12] These failures typically occur in the prosthetic screw, with abutment or implant failures being less common. 13,14 The screw fracture is usually located at the first thread engaged with the implant. 15,16 Under given loading conditions, the number of cycles to fatigue failure depends on several parameters, including component dimensions, screw metric, material, manufacturing processes, and preload level. 17 Most prosthetic screws are made of pure or alloyed titanium, as these are less expensive than gold alloy screws while having excellent biocompatibility, corrosion resistance, machinability, and desirable physical and mechanical properties. 18,19 Two processes are widely used for screw thread manufacturing in industry: cutting and cold rolling. In thread cutting, material is removed from a cylindrical blank by machining, and in thread rolling, a matched set of dies displaces material of the manufacturing part to produce external threads on the

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Section: Discussionmentioning

confidence: 98%

mentioning

confidence: 99%

Fatigue performance of prosthetic screws used in dental implant restorations: Rolled versus cut threads

Armentia

Abasolo

Coria

et al. 2021

The Journal of Prosthetic Dentistry

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“…Another study reported increasing tensile strength in specimens after the thread rolling process [7]. The thread rolling process increases the precision of the thread, improves surface roughness, and increases the strength of threaded joints [8]. Roll forming and machining of threads on carbon steel revealed a noticeable increase in hardness in the roll-formed threads.…”

Section: Introductionmentioning

confidence: 99%

Prediction of micro-hardness in thread rolling of St37 by convolutional neural networks and transfer learning

Soleymani

Khoshnevisan

Davoodi

2022

Int J Adv Manuf Technol

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This study introduces a non-destructive method by applying convolutional neural networks (CNN) to predict the microhardness of the thread-rolled steel. Material microstructure images were collected for our research, and micro-hardness tests were conducted to label the extracted microstructure images. In recent years, researchers have used machine learning (ML) and deep learning (DL) models to predict material properties for forming, machining, additive manufacturing, and other processes. However, they encountered industrial limitations primarily because of the absence of historical information on new and unknown materials, which are necessary to predict material properties by DL models. These problems can be solved by employing CNN models. In our work, we used a CNN model with two convolutional layers and visual geometry group (VGG19) as transfer learning (TL). We predicted four classes of micro-hardness of the St37 rolled threads. The prediction results of the micro-hardness test images by our proposed CNN model and pre-trained VGG19 model are comparable. Our proposed model has produced the same precision and recall scores as VGG19 for class B and class C hardness. VGG19 performed slightly better than our model for precision in class A and recall in class D. We observed that the training time of our proposed model using the CPU (central processing unit) was approximately nine times faster than the VGG19 model. Our proposed CNN and VGG19 have direct applications in advanced manufacturing (AM). They can automatically predict the micro-hardness in the thread rolling of St37. Our proposed model requires less memory and computational power and can be deployed more efficiently than the VGG19 model.

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Effects of thread rolling processing parameters on mechanical properties and microstructures of high-strength bolts

Aktaş

Kişioğlu

2020

Materials Testing

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Bolt production with a grade of 10.9 class quality made from AISI4140 material with a low thread rolling index is usually implemented in accordance with the thread rolling method (cold forming) in industrial applications. In this method, the effects of die revolutions and multiple passes are unknown in the thread forming process as the devices are usually operated with respect to geometrical dimensions but not the mechanical properties and microstructures of the material. In the literature there are few studies on microstructures of low-carbon steel having a higher thread rolling index in bolt production. This study experimentally examined the effects of the processing parameters on the mechanical properties and microstructures. Parameters such as forming speed and single or multi-pass influences were considered in the production of M12 × 1.75 and M20 × 2.5 fasteners widely used in industrial applications. The experiments identified the behavior of the mechanical properties, microstructures and micro-hardness of the AISI4140 material at two forming speeds (rpm) and three passes in the thread rolling process. Thus, significantly sensible outcomes as a function of processing parameters were obtained considering the thread strength viewpoints.

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Quality control of rolled threads

Cited by 3 publications

References 0 publications

Fatigue performance of prosthetic screws used in dental implant restorations: Rolled versus cut threads

Fatigue performance of prosthetic screws used in dental implant restorations: Rolled versus cut threads

Prediction of micro-hardness in thread rolling of St37 by convolutional neural networks and transfer learning

Effects of thread rolling processing parameters on mechanical properties and microstructures of high-strength bolts

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