Experimental studies of the cutting force and surface morphology of explosively clad Ti–steel plates

Niesłony, P.; Cichosz, Piotr; Królczyk, Grzegorz M.; Legutko, Stanisław; Smyczek, D.; Kołodziej, Marek

doi:10.1016/j.measurement.2015.10.005

Cited by 73 publications

(28 citation statements)

References 13 publications

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“…Current developments in Ti processing predict the accessibility of lower-cost Ti and have revived interests in exploring the tribo-behaviour of Ti alloys as bearing materials [15][16][17][18]. Titanium and its alloys exhibit low tribological properties but their wear resistance can be improved by surface treatments promoting growth of the surface hardness, leading to changes of the wear mechanism and a lowering of the wear rate [19].…”

Section: Introductionmentioning

confidence: 99%

On the Improvement of AA2024 Wear Properties through the Deposition of a Cold-Sprayed Titanium Coating

Astarita

Rubino

Carlone

et al. 2016

Metals

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This paper deals with the study of the enhancement of the tribological properties of AA2024 through the deposition of a titanium coating. In particular two different coatings were studied: (1) untreated titanium coating; and (2) post-deposition laser-treated titanium coating. Titanium grade 2 powders were deposited onto an aluminium alloy AA2024-T3 sheet through the cold gas dynamic spray process. The selective laser post treatment was carried out by using a 220 W diode laser to further enhance the wear properties of the coating. Tribo-tests were executed to analyse the tribological behaviour of materials in contact with an alternative moving counterpart under a controlled normal load. Four different samples were tested to assess the effectiveness of the treatments: untreated aluminium sheets, titanium grade 2 sheets, as-sprayed titanium powders and the laser-treated coating layer. The results obtained proved the effectiveness of the coating in improving the tribological behaviour of the AA2024. In particular the laser-treated coating showed the best results in terms of both the friction coefficient and mass lost. The laser treatment promotes a change of the wear mechanism, switching from a severe adhesive wear, resulting in galling, to an abrasive wear mechanism.

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Section: Introductionmentioning

confidence: 99%

On the Improvement of AA2024 Wear Properties through the Deposition of a Cold-Sprayed Titanium Coating

Astarita

Rubino

Carlone

et al. 2016

Metals

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“…Application of these techniques in a number of modern scientific and technological fields can be found in the literature [22][23][24][25]. Moreover, in abrasive machining technologies many applications occur that relate to the assessment of the condition of the machined surface [26][27][28][29] and the condition of the abrasive tool's active surface [30][31][32][33].…”

Section: Characteristics Of the Focus-variation Microscopymentioning

confidence: 99%

The Use of Focus-Variation Microscopy for the Assessment of Active Surfaces of a New Generation of Coated Abrasive Tools

Kapłonek

Nadolny

Królczyk

2016

Measurement Science Review

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In this paper, the selected results of measurements and analysis of the active surfaces of a new generation of coated abrasive tools obtained by the use of focus-variation microscopy (FVM) are presented and discussed. The origin of this technique, as well as its general metrological characteristics is briefly described. Additionally, information regarding the focus variation microscope used in the experiments -InfiniteFocus ® IF G4 produced by Alicona Imaging, is also given. The measurements were carried out on microfinishing films (IMFF), abrasive portable belts with Cubitron™ II grains, and single-layer abrasive discs with Trizact™ grains. The obtained results were processed and analyzed employing TalyMap 4.0 software in the form of maps and profiles, surface microtopographies, AbbottFirestone curves, and calculated values of selected areal parameters. This allowed us to describe the active surfaces of the coated abrasive tools, as well as to assess the possibility of applying the FVM technique in such kinds of measurements.

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“…Cutting conditions, selected monitoring indices and tool wear parameter were given as the crucial factors of the study. Nieslony et al [8] investigated drilling process of titanium plated steel using two types of indexable insert drills with different configuration of the tool coatings (TiAlN/AlTiN + TiN and TiAlN/TiN). Surface morphology of the drilled holes and contact area was analysed by the analysis of thrust force, torque and signal fluctuations of PSD function.…”

Section: Introductionmentioning

confidence: 99%

Using artificial neural network models for the prediction of thrust force and torque in drilling operation of Al7075

Kyratsis

Efkolidis

Daniel³

et al. 2018

MATEC Web Conf.

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Abstract. This study investigates the thrust force (Fz) and torque (Mz) in a drilling process of an Al7075 workpiece using solid carbide tools (Kennametal KC7325), depending on the effects of crucial cutting parameters such as cutting velocity, feed rate and tool diameter of 10mm, 12mm and 14mm. Artificial neural networks (ANN) methodology is used in order to acquire mathematical models for both the thrust force (Fz) and torque (Mz) related to the drilling process. The ANN results showed that the best prediction topology of the network for the thrust force was the one with five neurons in the hidden layer, while for the case of Mz the best network topology for the prediction of the experimental values was the one with six neurons in the hidden layer. Based on the results acquired, the ANN models achieved accuracy of 1,96% and 1,95% for both the thrust force and torque measured, while the R coefficient for the prediction model of the thrust force is 0.99976 and 00.99981 for the torque. As a result they can be considered as very accurate and appropriate for their prediction.

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Experimental studies of the cutting force and surface morphology of explosively clad Ti–steel plates

Cited by 73 publications

References 13 publications

On the Improvement of AA2024 Wear Properties through the Deposition of a Cold-Sprayed Titanium Coating

On the Improvement of AA2024 Wear Properties through the Deposition of a Cold-Sprayed Titanium Coating

The Use of Focus-Variation Microscopy for the Assessment of Active Surfaces of a New Generation of Coated Abrasive Tools

Using artificial neural network models for the prediction of thrust force and torque in drilling operation of Al7075

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