Resistance spot welding control based on fuzzy logic

Podržaj, Primož; Simončič, Samo

doi:10.1007/s00170-010-2794-0

Cited by 39 publications

(20 citation statements)

References 23 publications

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“…The fuzzy prediction gives the ability to use mathematical logic in a manner and sense so close to human thinking and judgment. In other words, fuzzy logic will soften the transition between crisp ranges of data [20]. The three main fuzzy logic stages are Fuzzification, Fuzzy Inference, DefFuzzification [21].…”

Section: Fuzzy Logic Control (Flc)mentioning

confidence: 99%

“…There are different methods used for Spot Welding (SW), one of the most important used methods is the RSW, which is considered as an efficient joining process widely used for the fabrication of sheet metal assemblies [1]. Various materials are used extensively for resistance spot welding, like low carbon steel, stainless steels, and galvanized steel components due to their wide applications [2][3][4].…”

Section: Introductionmentioning

confidence: 99%

“…The energy provided to the welding operation relies on current flow, resistance of the circuit, and length of time when the current is applied. This can be seen obviously by equation (1), which is shown belowProcesses, and Systems is designed for a first course or two-course sequence in manufacturing at the junior level in mechanical, industrial, and manufacturing engineering curricula. Given its coverage of engineering materials, it is also suitable for materials science and engineering courses that emphasize materials processing.…”

Section: Introductionmentioning

confidence: 99%

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Prediction of spot welding parameters using fuzzy logic controlling

Hussein

Shareef

Zayer

2019

EEJET

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Точкове контактне зварювання (ТКЗ) являє собою один з найбiльш важливих зварювальних процесiв. Якiсть точкового контактного зварювання залежить вiд таких параметрiв процесу, як зварювальний струм, сила електрода i час зварювання, а також вiд їх рiвнiв. У данiй роботi експериментальна частина пiдтверджується моделюванням, де останнє буде використовуватися для прогнозування результатiв для нових даних з досить прийнятним вiдсотком точностi. У цьому дослiдженнi представлена експериментальна робота з точкового контактного зварювання двох однакових листiв аустенiтних нержавiючих сталей (AISI 304), якi припускають утримувати разом в однiй точцi тиском електродiв iз застосуванням високої величини електричного струму, при цьому параметри точкового контактного зварювання (зварювальний струм i час зварювання) можуть змiнюватися, щоб показати вплив кожного параметра на властивостi зварюваного матерiалу (максимальне зусилля зсуву, якому може пiддаватися метал, крiм дiаметра зварної точки площi контакту мiж зварюваними деталями). Експериментальна робота в даному дослiдженнi надає справжнi i важливi данi, якi стануть основою для створення контролера нечiткої логiки (КНЛ). Роль штучного iнтелекту (який представлений контролером нечiткої логiки) полягає в прогнозуваннi оптимальних параметрiв зварюваного матерiалу при будь-яких заданих параметрах точкового контактного зварювання, а також у визначеннi ймовiрностi витiснення, руйнування або розриву в процесi зварювання до його здiйснення, в той час як в цьому дослiдженнi КНЛ прогнозує оптимальне значення максимального зусилля зсуву для ТКЗ, яке виникає при часi зварювання 20 циклiв i зварювальному струмi 8 КA, а оптимальне значення дiаметра зварної точки розраховане КНЛ для ТКЗ забезпечується при часi зварювання 20 циклiв i зварювальному струмi 8 КA. Таке прогнозування дозволить зберегти металевi деталi та зварювальнi електроди, а також заощадить витрати i зусилля Ключовi слова: точкове контактне зварювання (ТКЗ), аустенiтнi нержавiючi сталi (AISI 304), контроль на базi нечiткої логiки (КНЛ)

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Section: Fuzzy Logic Control (Flc)mentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Prediction of spot welding parameters using fuzzy logic controlling

Hussein

Shareef

Zayer

2019

EEJET

View full text Add to dashboard Cite

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“…For example, laser welding [1][2][3] is efficient, reliable, and induces less heat-affected zone, but the cost is relatively high and it is difficult to connect multilayer sheets. Spot welding [4][5][6] can not be used to heterogeneous sheets connection. Riveting joining [7,8] obviously increases the weight of the connections, although it can realize the connection between heterogeneous sheets.…”

Section: Introductionmentioning

confidence: 99%

Mechanism and reliability of sheets embedded by cold press joining

LI¹,

YUAN²,

LIU³

et al. 2016

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Conventional mechanical joining methods, such as riveting, threaded connection and stamping connection, have obvious shortcomings in heterogeneous sheets joining. A new method of embedded cold joining was put forward, which can easily realize the connection between heterogeneous sheets. The method is suitable for connection of heterogeneous sheets with multi-layers and different thicknesses. This method can also decrease the cost greatly at the same time. Numerical simulation and experimental results indicate that a round hole sample has the maximum embedded depth and flash volume. Meanwhile, the elongation of aluminum sheet in hexagonal hole sample is the smallest. The joint strength of round hole sample increases with increment of the load pressure. Under the same load conditions, the joint strength of hexagonal hole sample is significantly higher than that of round hole and square hole sample. Additionally, the thickness decreased at different points on joint region because of the load pressure increasing. This paper shows an effective way how to realize the heterogeneous sheets connections.

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“…Li et al [23] achieved some quality assessment rules by using attribute reduction algorithm of the rough set theory. Zhang et al [24] discriminated good or bad welding based on the kernel fisher discriminant analysis technique, and Podržaj et al [25] estimated the weld quality on the basis of the fuzzy logic algorithm.…”

Section: Introductionmentioning

confidence: 99%

A new method for nondestructive quality evaluation of the resistance spot welding based on the radar chart method and the decision tree classifier

Zhang

Hou²,

Zhang

et al. 2014

Int J Adv Manuf Technol

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To develop an effective nondestructive evaluation method for the welding quality of the resistance spot welding, the electrode displacement signal during the resistance spot welding process is monitored, and the acquisition data of the signal are innovatively presented as the radar chart format. Some geometric features of the radar charts are extracted to reflect the welding quality. The decision tree classification technique is adopted to build a classifier and to provide a visible and intuitive diagnostic procedure for welding quality assessment. Test results of the decision tree classifier show that it is feasible and reliable to evaluate weld quality based on the graphics features of the radar chart. The features and the weld quality are closely related, and their extraction avoids complex algorithm. Meanwhile, when there are small samples, the decision tree classifier can identify good or bad weld accurately and rapidly, even though the weld is from an abnormal welding process, such as expulsion, current shunting, greasy surface, and small edge distance condition.

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Resistance spot welding control based on fuzzy logic

Cited by 39 publications

References 23 publications

Prediction of spot welding parameters using fuzzy logic controlling

Prediction of spot welding parameters using fuzzy logic controlling

Mechanism and reliability of sheets embedded by cold press joining

A new method for nondestructive quality evaluation of the resistance spot welding based on the radar chart method and the decision tree classifier

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