Effect of Diamond Burnishing on Fatigue Behaviour of AISI 304 Chromium-Nickel Austenitic Stainless Steel

Maximov, J. T.; Duncheva, G. V.; Anchev, A. P.; Dunchev, V. P.; Argirov, Yaroslav

doi:10.3390/ma15144768

Cited by 16 publications

(25 citation statements)

References 34 publications

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“…The combination of maximum force and number of passes minimizes the absolute value of axial compressive stresses. This phenomenon has also been observed in previous studies [14]. The large burnishing force in multi-pass DB significantly increases the thickness of the plastically deformed layer.…”

Section: Regression Analysessupporting

confidence: 88%

“…, respectively. Based on our previous study [14], these values of the radius and feed rate maximize the fatigue limit and microhardness in the SL, while burnishing velocities below min / m 100 (given the heat generated by friction) have little effect on the SI characteristics. Therefore, the burnishing force b F and number of passes n were selected as the governing factors in the present study and were implemented through a one-way working scheme.…”

Section: Db Implementationmentioning

confidence: 93%

“…Table 6 shows the main mechanical properties at room temperature in the as-received state. The following variation intervals of the governing factors were chosen based on the results obtained in [14]: burnishing force 700 F 300 b  …”

Section: Chemical Composition and Main Mechanical Characteristics Of ...mentioning

confidence: 99%

“…Using Basquin's model [52], the assumed S-N curves (Fig. 8) are represented in a double-logarithmic coordinate system as straight lines, constructed on the basis of some experimental results obtained in [14], for samples treated by hardening DB. The equations of S-N lines in a double-logarithmic coordinate system have the form [2]:…”

Section: Experimental Outcomes For the Fatigue Limit And Si Character...mentioning

confidence: 99%

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Direct correlation between surface integrity and fatigue limit of surface cold worked chromium-nickel austenitic stainless steels

Maximov,

Duncheva,

Anchev

et al. 2023

Preprint

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Direct correlations were established between basic surface integrity (SI) characteristics (roughness, microhardness, residual stresses) obtained as a result of surface cold working (SCW) and bending fatigue limit of chromium-nickel austenitic stainless steels (CNASS). The results of experimental tests and optimization of the SCW process, implemented via hardening diamond burnishing (DB), are presented. When the requirement for the corresponding component is a high fatigue limit, the information obtained will help the researcher to find the inverse correlation between SI and finishing so that when the SCW process is implementing by another method, the same high fatigue limit can be achieved. Five roughness parameters that are functionally significant indicators of fatigue behavior, microhardness, and surface residual axial and hoop stresses form the vector of objective functions. The governing factors are the burnishing force and the number of passes. The fatigue limit was obtained by the accelerated Locati’s method. The models of the corresponding SI characteristics and the fatigue limit were obtained by a planned experiment and regression analyses. Direct correlations between SI characteristics and the fatigue limit were obtained by eliminating the variables in the corresponding pairs of models. The change trends of the microhardness and fatigue limit were found to be identical, i.e., the fatigue limit of CNASS can be controlled via inexpensively measured SI characteristics such as roughness parameters and surface microhardness. In other words, any static coldworking process can be optimized without carrying out fatigue tests by choosing these SI characteristics as objective functions and seeking a compromise optimal solution that simultaneously achieves high values of the microhardness and skewness and a low value of the roughness parameter Ra. Given the direct correlation between the microhardness and the fatigue limit, the compromise optimal solution maximizes the fatigue limit while satisfying the particular roughness requirements. The multi-objective optimization performed and comparisons made prove the effectiveness of the proposed approach.

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Section: Regression Analysessupporting

confidence: 88%

Section: Db Implementationmentioning

confidence: 93%

Section: Chemical Composition and Main Mechanical Characteristics Of ...mentioning

confidence: 99%

Section: Experimental Outcomes For the Fatigue Limit And Si Character...mentioning

confidence: 99%

See 2 more Smart Citations

Direct correlation between surface integrity and fatigue limit of surface cold worked chromium-nickel austenitic stainless steels

Maximov,

Duncheva,

Anchev

et al. 2023

Preprint

Self Cite

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“…Furthermore, the DB process significantly decreased the 3D height of the surface roughness. Maximov et al indicated that an increase in the percentage of the martensitic phase leads to higher fatigue strength of the burnished AISI 304 steel [11]. Moreover, the initial characteristics, including the roughness, microhardness, and residual stresses had significant impacts on the surface integrity.…”

Section: Introductionmentioning

confidence: 99%

Ecological design optimization of nozzle parameters for burnishing operation

Thai¹,

Van²,

Nguyen³

et al. 2023

J Appl Eng Science

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The design configuration of the nozzle has a vital role in the performance measures of the machining processes. However, parameter optimizations are primary considerations of published works. This study optimizes nozzle design parameters to minimize environmental impacts and enhance the surface quality for the diamond burnishing (DB) operation. The performance measures considered are energy efficiency (ED), noise emission (NE), and the total height of profile roughness (Rt). The variables are the inner diameter (D), spraying distance (S), and pitch angle (P). The optimal Taguchi-based Bayesian regularized feed-forward neural network (TBRFFNN) was applied to propose performance models. The CRITIC approach is utilized to compute the weight values of responses, while the desirability approach (DA) is employed to select optimality. The observed results of the D, S, and P were 3.0 mm, 15 mm, and 45 deg., respectively. The ED was enhanced by 12.7%, while the RT and NE were decreased by 24.4% and 9.1%, respectively, as compared to the original design parameters. The obtained outcomes could be utilized in the practice to boost technical characteristics. The developed optimizing approach could be employed to deal with optimization problems for different machining processes

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Explicit correlation between surface integrity and fatigue limit of surface cold worked chromium-nickel austenitic stainless steels

Maximov,

Duncheva,

Anchev

et al. 2024

Int J Adv Manuf Technol

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Effect of Diamond Burnishing on Fatigue Behaviour of AISI 304 Chromium-Nickel Austenitic Stainless Steel

Cited by 16 publications

References 34 publications

Direct correlation between surface integrity and fatigue limit of surface cold worked chromium-nickel austenitic stainless steels

Direct correlation between surface integrity and fatigue limit of surface cold worked chromium-nickel austenitic stainless steels

Ecological design optimization of nozzle parameters for burnishing operation

Explicit correlation between surface integrity and fatigue limit of surface cold worked chromium-nickel austenitic stainless steels

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