This article is aimed to study the effect of laser treatment AISI 304 stainless steel on corrosion resistance and chemical composition surface layer. The samples were irradiated using two quite different sources: IPG Yb:glass fibre (? = 230 ns, ? 1062 nm) Trumpf TruMicro Series 2020 fiber 260 fs–20 ps, 1030 that is, in both long ultra-short pulse duration regime. It allowed observation complete...

Protective coating is an effective way to extend materials’ high-temperature service life. In order improve the oxidation resistance of AISI 304 stainless steel, mullite films with different layers were successfully prepared by sol-gel method and sintering process on surface steel. The effect film steel at 900 °C for 100 h was studied. analysis results kinetics, X-rays diffraction (XRD), scanni...

The paper deals with the calculation of the optimal traverse speed for diff erent types of materials, which is very important for predication, imaginings and dimensioning of technological factors and selection of the materials with the aim to increase of surface quality at abrasive waterjet cutting (AWJ) technology. The surface irregularities of the experimental used materials AISI 304, AISI 30...

In additive manufacturing, powder characteristics play an important role in terms of flowability and densification, which can be improved by the use spherical powders. this study, irregular was spheroidised plasma treatment, properties were measured. Powder characterisation conducted to determine morphology, particle size distribution as well flowability. Spherical AISI 304 stainless steel powd...

In this study, the effects of punch edge radius and blanking clearance on product quality process in AISI 304 stainless steel sheet were investigated by using fi-nite element analysis method. The analyzes performed at four different tip radii (0.01, 0.25, 0.5, 1 mm) three (1 %, 5%, 10%). As a result analysis, rollover, burr length increased, smooth sheared / fractured surface ratio force decrea...

Stainless steel is a kind of difficult-to-machine material, and the work hardening in milling easily leads to high energy consumption poor surface quality. Thus, influence machined hardness on quality cannot be ignored. To solve this problem, prediction models for machine tool specific roughness are developed with wear considered firstly. Then, validity verified through AISI 304 stainless exper...