Application of discrete wavelet transform to analysis of cutting forces in turning of composites based on aluminium alloys reinforced with Al2O3 fibres

Karolczak, Paweł

doi:10.5937/fme2103563k

Cited by 5 publications

(3 citation statements)

References 29 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…It is also equally as important to understand the selected machining process and its workings for cost-efficient production. The required surface quality of machined products is of vital importance in determining the viability of the selected machining process [2,3]. This enables engineers to control and manage industrial procedures through research and experimentation for process optimization.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Investigation on machinability of aluminum 7075 under dry environment

Magabe,

Gupta

2023

FME Transactions

View full text Add to dashboard Cite

Aluminum is a light and soft material that is difficult to machine. It is the most produced non-ferrous metal and undergoes extensive machining for the development of a wide range of products. Advances in industry inspire the need to find sustainable ways of machining aluminum and its alloys using conventional machining processes. In the study reported in this paper, two sets of experiments were conducted to investigate the machinability of aluminum 7075 using a plain carbide tool under a dry environment, i.e., no lubrication. In the first set, four rough experiments were conducted where three important machining parameters, i.e., cutting speed CS (115-495 RPM), depth of cut DOC (0.8-1.5 mm), and Feed rate FR (0.08-0.2 mm/rev) have been varied at two levels each to check the behavior of responses or machinability indicators, i.e., surface roughness and tool wear, at machining parameters' highest and lowest values. Based on the results of the first set of experiments, the ranges and levels of parameters have been fixed in the second set for a detailed study of the machinability of aluminum. A total of nine experiments based upon Taguchi's robust design of experiment technique with orthogonal array L9 have been conducted where an additional machining parameter, i.e., machining time MT, has been introduced. The effect of machining parameters on tool wear and surface roughness has been studied in detail, and it is found that the dry machining of aluminum is possible without the early failure of the tool. Dry machining with low values of CS, DOC, FR, and medium MT is desirable for better machinability, i.e., minimum roughness and tool wear, an optimum combination of machining parameter cutting speed-115 RPM, depth of cut-0.8 mm, feed rate-0.12 mm/rev, and machining time-90 seconds. The findings of the present work will assist engineers and researchers in attaining quality, productivity, and sustainability while manufacturing parts and components from aluminum to be used in the automotive, defense, and aerospace sectors.

show abstract

Section: Introductionmentioning

confidence: 99%

“…A group of researchers investigated minimizing surface roughness and roundness error and maximizing the material removal rate for machinability enhancement of AA6063 T6 Aluminum alloy [3]. They found that FR affects machining at 57.365%, DOC at 25.11%, and CS at 17.35%.…”

Section: Introductionmentioning

confidence: 99%

Investigation on machinability of aluminum 7075 under dry environment

Magabe,

Gupta

2023

FME Transactions

View full text Add to dashboard Cite

show abstract

“…However, they were limited to the ball end mill tool. Karolczak [5] used discrete wavelet transform to analyse the cutting forces in Turning. Zeroudi et al [6].…”

Section: Introductionmentioning

confidence: 99%

On modelling and analysis of voxel-based force prediction for a 3-axis CNC machining

Dhanda

Kukreja

Patel

et al. 2022

Advances in Materials and Processing Technologies

View full text Add to dashboard Cite

Determination of cutting forces is the main requirement for understanding the machining process and optimising its parameters for achieving higher productivity and surface finish. This paper presents an exploratory study and the development of a model to estimate cutting forces for a 3-axis CNC milling process using a voxel-based CAD model. The developed algorithm takes the NC code, workpiece/tool material properties, and the tool geometry data as inputs. The cutting tool engagement with the workpiece is computed using a discretized (voxelized) model. The calculated voxel engagement was finally used to calculate the cutting forces using the analytical method. The algorithm was implemented and tested for various case studies and the in-house experimental data for different types of end mill tools. Finally, the effect of variation in the size of the voxel and the number of flutes was studied. The model showed a good correlation and was found to be accurate (~80%) and robust.

show abstract

Analysis of Cutting Forces with Application of the Discrete Wavelet Transform in Titanium Ti6Al4V Turning

Karolczak¹

2023

Manufacturing Technology

Self Cite

View full text Add to dashboard Cite

The paper presents the possibilities of using the wavelet transform to filter the cutting force signal. Tests were carried out by dry turning on the Ti6Al4V alloy with variable cutting parameters. Four blades with different nose geometry and coatings were used. From the recorded waveforms, the mean values of the force component Fc and the load stability coefficient kn were calculated. The measured force waveforms were filtered with Daubechies 4 (db4) and Daubechies 6 (db6) wavelets. From the ratio of the load stability after filtration to the load stability before filtration, the noise and disturbance values generated during the turning of the tested alloy and the force measurement were estimated. The research conducted shows how the machining conditions affect the forces and stability values, and thus also the variability of the cutting edge load when turning a titanium alloy. They also show the effectiveness of the Discrete Wavelet Transform (DWT) in separating the noise from the force signal.

show abstract

Application of discrete wavelet transform to analysis of cutting forces in turning of composites based on aluminium alloys reinforced with Al2O3 fibres

Cited by 5 publications

References 29 publications

Investigation on machinability of aluminum 7075 under dry environment

Investigation on machinability of aluminum 7075 under dry environment

On modelling and analysis of voxel-based force prediction for a 3-axis CNC machining

Analysis of Cutting Forces with Application of the Discrete Wavelet Transform in Titanium Ti6Al4V Turning

Contact Info

Product

Resources

About