Materials for Manufacturing Automotive Industry High-Strength Fasteners

Lavrinenko, V.Yu.; Lavrinenko, Yu. A.; Говоров, В. А.

doi:10.1007/s11015-020-00913-0

Cited by 6 publications

(2 citation statements)

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“…Research to improve manufacturing efficiency and product quality has analysed several aspects of the production cycle. One approach was to improve the quality of the raw material by treating it before 11 and after the fastener was manufactured. 12,13 Work was done on enhancing tool die materials by adding carbon fibre, as shown by Yurtdas et al 14 Other studies investigated shrink fit interference on the die to improve its design, enhancing die service life.…”

Section: Introductionmentioning

confidence: 99%

Application of vibration analysis using time-frequency analysis to detect and predict mechanical failure during the nut manufacturing process

Novelo

Chu

2022

Advances in Mechanical Engineering

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The nut manufacturing machine operates almost continuously throughout the day and, consequently, requires frequent maintenance, the duration of which depends on the type of fault. Unpredicted downtime can cause loss of production volume, inability to meet critical timelines, and product quality degradation. Vibration research was conducted on a six-die nut manufacturing machine, which experienced frequent faults on the fourth and sixth dies that exerted the greatest impact on the nut material. The application of several analytical techniques on vibration data – the fast Fourier Transform, Empirical Mode Decomposition, Multiscale Entropy, Shock Response Spectrum, and correlation – enabled the identification of fault indicators, which would be useful for predictive maintenance. These features were detectable up to 8 h 28 min and up to 1 h 9 min prior to failure or deterioration resulting from severe and regular damage, respectively. Faults included quality deterioration and die and non-die breakage, fusion, bending and cracking. This research can optimise machine efficiency through timely upkeep facilitated by predictive maintenance.

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Section: Introductionmentioning

confidence: 99%

Application of vibration analysis using time-frequency analysis to detect and predict mechanical failure during the nut manufacturing process

Novelo

Chu

2022

Advances in Mechanical Engineering

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“…Research to improve fasteners and their machine performance has focused on wear simulation or improving die life through material improvement. Studies on material improvement included the combination of different materials to create a stronger mould and die [2,3] and the use of heat treatments [4][5][6]. The simulation of die wear for a nut manufacturing machine was done through a finite element (FE) analysis that forecasted the parts of the die which experienced wear more rapidly [7].…”

Section: Introductionmentioning

confidence: 99%

Condition Monitoring to Enable Predictive Maintenance on a Six-Die Nut Manufacturing Machine through Force Data Analysis

Novelo

Chu

2022

Applied Sciences

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Nut fasteners are produced by machines working around the clock. Companies generally operate with a run-to-failure or planned maintenance approach. Even with a planned maintenance schedule, however, undetected damage to the dies and non-die parts occurring between maintenance periods can cause considerable downtime and pervasive damage to the machine. To address this shortcoming, force data from the fourth and sixth dies of a six-die nut manufacturing machine were analysed using correlation to the best health condition on the force profile and on the force shock response spectrum profile. Fault features such as quality adjustments and damage to both die and non-die parts were detectable prior to required maintenance or machine failure. This detection was facilitated by the determination of health thresholds, whereby the force SRS profile generated a longer warning period prior to failure. The analytical approach could benefit the industry by identifying damage that would normally go undetected by operators, thereby reducing downtime, extending die life, enabling “as needed” maintenance, and optimising machine operation.

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Utilizing controlled hydrogen-assisted pre-cracking to assess the fracture toughness of high-strength steels

Brilz,

Chakamnan,

Szabo

et al. 2025

Engineering Fracture Mechanics

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Materials for Manufacturing Automotive Industry High-Strength Fasteners

Cited by 6 publications

References 0 publications

Application of vibration analysis using time-frequency analysis to detect and predict mechanical failure during the nut manufacturing process

Application of vibration analysis using time-frequency analysis to detect and predict mechanical failure during the nut manufacturing process

Condition Monitoring to Enable Predictive Maintenance on a Six-Die Nut Manufacturing Machine through Force Data Analysis

Utilizing controlled hydrogen-assisted pre-cracking to assess the fracture toughness of high-strength steels

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