Cutting Speed and Feed Influence on Surface Microhardness of Dry-Turned UNS A97075-T6 Alloy

Abstract

In this work, an analysis of the cutting speed and feed influence on surface roughness and microhardness of UNS A97075-T6 alloy, turned under dry conditions, was carried out. The results were compared before and after a corrosion process. The influence of these cutting parameters on each of these variables was analyzed, as well as the possible interrelation between them. The microgeometrical deviations showed a general trend to increase with feed. However, no significant modifications were observed as a function of the cutting speed. This trend was softer after the corrosion process, due to the surface alterations produced by pitting corrosion, which resulted in higher dispersion of the experimental data. In addition, a surface microhardness increment was observed in all samples, after machining and before corrosion, regardless of the cutting parameter values. The experimental results revealed that the mechanical effects, produced by the feed, should not be neglected against the thermal effects, produced by the cutting speed, within the range of the tested cutting speed. Finally, the corrosion process negatively affected the microhardness, but it was not possible to establish a direct relationship between the cutting parameters, surface roughness, and microhardness after a corrosion process.

Fatigue Behavior Parametric Analysis of Dry Machined UNS A97075 Aluminum Alloy

“…In addition, although the dispersion was greater for v c = 60 m/min, it is within the common dispersion for fatigue tests. Similar studies carried out on the cutting parameters influence on the microhardness and microstructure of the machined surface (which affect fatigue behavior) coincide in obtaining a greater dispersion in the results for v c = 60 m/min [55]. The authors explain this behavior due to a combined effect of mechanical effects (feed) and thermal effects (cutting speed) that influences on surface microhardness and microstructure and, therefore, on fatigue behavior.…”

“…The selected values for the cutting parameters are commonly used in the machining of these alloys for particular aeronautical applications. In addition, these cutting conditions were selected in order to compare the results of this study with previous related works [55,56]. In this context, it should be pointed that although low cutting speed is not recommended for machining aluminum alloys, these alloys are often used hybridized with other materials, such as carbon fiber reinforced polymers (CFRP) to form fiber metal laminates (FML), in which this low cutting speed is required.…”

“…In general, they have negatively affected the fatigue behavior, reducing N. On one hand, an f increment results in higher Ra values, which makes easier the crack initiation. On the other hand, a v c increase gives rise to a microhardness reduction, an increment of geometrical deviations (due to higher vibrations) and an increase of tensile stresses [36,55,56], which results in N reductions. Those effects are enhanced when both cutting parameters (f and v c ) increase simultaneously.…”

Analysis and Multi-Objective Optimization for Reducing Energy Consumption and Improving Surface Quality during Dry Machining of 304 Stainless Steel

“…As an indispensable aspect of surface integrity, microhardness is of great significance throughout the life cycle of a production [26]. Microhardness has an important influence on the yield strength [27], wear resistance of the material, and the bearing capacity of the structure [28]. Therefore, it is practically significant to investigate microhardness.…”

Special Issue of the Manufacturing Engineering Society 2019 (SIMES-2019)

“…Concretely, the contributions have been mainly focused on the topics: additive manufacturing and 3D printing, with a contribution presenting the use of 3D printing with training purposes in the field of primary care [4]; advances and innovations in manufacturing processes, more specifically in the deep drawing of Inconel 718 applying different thermal treatments [5]; sustainable and green manufacturing, considering dry machining conditions in the turning of aluminum alloys used in aeronautical industry [6]; manufacturing of new materials such as a carbon fiber reinforced plastic (CFRP) laminates by drilling, using multiple sensor monitoring [7]; metrology and quality in manufacturing through the development of a bidimensional system for nanopositioning with uncertainty assessment [8]; manufacturing engineering and society, with a work presenting the use of hyperspectral imaging techniques with application in the conservation of cultural heritage [9]. Finally, it is worth mentioning how the topic "production planning" has attracted a great number of contributions in this journal due to their applicative approach, presenting the latest advances in methods with applications in the metallurgical [10], automotive [11], and military [12] industries, and involving innovative techniques such as machine learning and data mining [13].…”