Characterization of Cutting Parameters in the Minimum Quantity Lubricant (MQL) Machining Process of a Gearbox

2015 ◽  
Vol 5 (1) ◽  
pp. 49-60 ◽  
Author(s):  
J. A. Travieso-Rodriguez ◽  
G. Gomez-Gras ◽  
Silvia Garcia-Vilana ◽  
Ferran Mainau-Noguer ◽  
R. Jerez-Mesa
Keyword(s):  
Cutting Parameters ◽  
Production Costs ◽  
Machining Process ◽  
Machined Parts ◽  
Minimum Quantity Lubricant ◽  
Definition Of ◽  
A Company ◽  
Production Industry ◽  
Different Parts

This paper aims to find the key process parameters for machining different parts of an automobile gearbox, commissioned by a company that needs to replace with the MQL lubrication system their current machining process based on cutting fluids. It particularly focuses on the definition of appropriate cutting parameters for machining under the MQL condition through a statistical method of Design of Experiments (DOE). Using a combination of recommended parameters, significant improvements in the surface roughness of different machined parts are shown. Production costs are also reduced by decreasing expenses on lubricants and by optimizing the cycle time reached under the new cutting conditions, what would help the implementing company to increase its profits and adapt to a modern sustainability-demanding production industry.

The Ethics of Social Media and Network Security

2015 ◽  
pp. 79-90
Keyword(s):  
Social Networks ◽  
Social Media ◽  
Network Security ◽  
Ethical Dilemmas ◽  
Common Interest ◽  
Advantages And Disadvantages ◽  
Individual Privacy ◽  
Definition Of ◽  
A Company

A definition of modern social media leads to the characterization of advantages and disadvantages of social media in the workplace. The characteristics of social media are: reach, accessibility, immediacy, and permanence paradox. The extent of media invasion of privacy is discussed in this chapter, and ethical dilemmas are raised. Social networks are regarded as the main reasons for the decrease of productivity and other unanticipated confidential problems, which a company may face. Furthermore, the implications of security alerts lead to a dilemma between individual privacy and common interest. Different types of attacks might interfere with an existing functional network. Relevant current issues in Network Security include: authentication, integrity, confidentiality, non-repudiation, and authorization.

Spatial Rearrangement Using Pairwise Exchange Method (Case Study of PT. LMN)

2021 ◽  
Vol 1 (1) ◽  
Author(s):  
Muhammad Bayu Aji Saputra ◽  
Boy Isma Putra
Keyword(s):  
Layout Design ◽  
Production Costs ◽  
Exchange Method ◽  
Total Cost ◽  
Initial Sequence ◽  
Distance Difference ◽  
A Company ◽  
Production Industry ◽  
Better Than

PT. LMN is a company engaged in the manufacturing and outer production industry, the purpose of this research is to obtain a new layout design that can minimize the distance to move goods and the minimum total cost that can minimize the distance to move goods and the minimum total costs so as to reduce production costs, and obtain The new layout is better than the previous layout. Data processing begins by determining the initial sequence as a planning basis, then performing pairwise exchanges based on the initial sequence so as to produce several alternatives, do this stage until you get the smallest results. Lastly compares the new smallest order with the starting sequence. From the calculation, the results obtained are the proposed sequence (5 - 6 - 8 - 3 - 2 - 7 - 4 - 1 - 9) with a total value of 3450.5 meters. This proposal resulted in a total distance difference of 980.5 meters and a cost of IDR 11,736,8167 / per production. So that companies can reduce distance and also costs in each production process.

Uncertainty Management of Cutting Forces Parameters and its Effects on Machining Stability

2015 ◽  
Vol 651-653 ◽  
pp. 1165-1170 ◽  
Author(s):  
Edouard Rivière Lorphèvre ◽  
Christophe Letot ◽  
François Ducobu ◽  
Enrico Filippi
Keyword(s):  
Cutting Forces ◽  
Mechanistic Model ◽  
Model Identification ◽  
Cutting Parameters ◽  
Virtual Manufacturing ◽  
Production Costs ◽  
Machining Process ◽  
Macroscopic Models ◽  
Force Signal ◽  
Machining Operations

Virtual manufacturing is a field of research which numerically simulate all the manufacturing processes seen by a mechanical part during its production (for example casting, forging, machining, heat treatment,…). Its use is rising on various industries to reduce production costs and improve quality of manufactured parts. One of the most challenging component of the whole simulation chain is the simulation of machining operations due to some of its specificities (need of material law at high strain, strain rates and temperature, heterogeneities of machined material, influence of residual stresses,…).In order to circumvent these difficulties, macroscopic models of machining process have been developed in order to compute more global information (cutting forces, stability of the process, tolerance or roughness for example). For this approach, the cutting forces computation is done by using simple analytical law based on mechanistic approach. The parameters of the models have no clear physical meaning (or at least cannot be linked to intrinsic properties of the material to be machined) and are therefore considered constants for a given set of simulations.The aim of this paper is to take into account the uncertainty on the variability of the cutting force signal during machining operation used as input for mechanistic model identification. The variability of the response during a test on fixed conditions (cutting tool, machined material and cutting parameters) is taken into account to develop a model where parameters of the model can evolve during a given operation.The proposed model is then used as an input of a milling operation simulation in order to study its influence on machining stability as compared to a classical approach.

scholarly journals Multi-Objective Optimization Model of Multi-Pass Turning Operations to Minimize Energy, Carbon Emissions, and Production Costs

2020 ◽  
Vol 21 (2) ◽  
pp. 213-224
Author(s):  
Aprilia Dityarini ◽  
Eko Pujiyanto ◽  
I Wayan Suletra
Keyword(s):  
Carbon Emissions ◽  
Optimization Model ◽  
Sustainable Manufacturing ◽  
Cutting Parameters ◽  
Production Costs ◽  
Machining Process ◽  
Multi Objective Optimization ◽  
Multi Objective ◽  
Decision Variables ◽  
Optimal Values

Sustainable manufacturing aspects are environmental, economic, and social. These aspects can be applied to an optimization model in the machining process. An optimization model is needed to determine the optimum cutting parameters. This research develops a multi-objective optimization model that can optimize cutting parameters on a multi-pass turning. Decision variables are cutting parameters multi-pass turning. This research has three objective functions for minimizing energy, carbon emissions, and costs. Three functions are searched for optimal values using the GEKKO.  A numerical example is given to show the implementation of the model and solved using GEKKO and Interior Point Optimizer (IPOPT). The results of optimization indicate that the model can be used to optimize the cutting parameters.

Acoustic Emission in Stainless Steel End Milling with Carbide Tools

2017 ◽  
Vol 753 ◽  
pp. 206-210
Author(s):  
Peter Babatunde Odedeyi ◽  
Khaled Abou-El-Hossein ◽  
Muhammad M. Liman ◽  
Abubakar I. Jumare ◽  
Abdulqadir N. Lukman
Keyword(s):  
Stainless Steel ◽  
Acoustic Emission ◽  
Tool Wear ◽  
Manufacturing Industry ◽  
End Milling ◽  
Cutting Parameters ◽  
Machining Process ◽  
Dimensional Precision ◽  
Tool Monitoring ◽  
Machined Parts

Tool wear is a complex phenomenon, it worsens surface quality, increases power consumption, and causes rejection of machined parts. Tool wear has a direct effect on the quality of the surface finish of the workpiece, dimensional precision and ultimately the cost of the parts produced. In modern automated manufacturing machines, tool monitoring system for automated machines should be capable of operating on-line and interpret the working condition of machining process at a given point in time. Therefore, there is a need to develop a continuous tool monitoring systems that would notify operator the state of tool in order to avoid tool failure or undesirable circumstances. This study therefore uses acoustic emission (AE) sensing techniques, signal processing and Artificial Neural Networks (ANN) frameworks to model and validate the machining process. The AE showed effects of tool breakage and ANN predictions closest to the experimental cutting parameters were obtained. It was also shown that the ANN prediction model obtained is a useful, reliable and quite effective tool for modeling tool wear of carbide tools when working on stainless steel. Thus, the results of the present research can be successfully applied in the manufacturing industry to reduce the time, energy and high experimental costs.

Tool Wear in Cutting Operations: Experimental Analysis and Analytical Models

2013 ◽  
Vol 135 (5) ◽  
Author(s):  
A. Attanasio ◽  
E. Ceretti ◽  
C. Giardini ◽  
C. Cappellini
Keyword(s):  
Tool Wear ◽  
Cutting Parameters ◽  
Research Field ◽  
Point Of View ◽  
Production Costs ◽  
Analytical Models ◽  
Machining Processes ◽  
Production Manager ◽  
Experimental Values ◽  
Definition Of

The possibility of predicting the amount of the tool wear in machining processes is an interesting topic for industries, since tool wear affects surface integrity of the final parts and tool life is strictly connected with substitution policy and production costs. The definition of models able to correctly forecast the tool wear development is an important topic in the research field. For this reason in the present work, a comparison between response surface methodology (RSM) and artificial neural networks (ANNs) fitting techniques in tool wear forecasting was performed. For developing these predictive models, experimental values of tool wear, obtained by longitudinal turning operations with variable cutting parameters, were collected. Once selected, the best configuration of the two previously mentioned techniques, the resultant errors with respect to experimental data were estimated and then compared. The results showed that the developed models are able to predict the amount of wear. The comparison demonstrated that ANNs give better approximation than RSM in the prediction of the amount of the flank wear (VB) and of the crater wear (KT) depth. The obtained results are interesting not only from a scientific point of view but also for industries. In fact, it should be possible to implement the best model into a production manager software in order to correctly define the tool change during the lot production.

scholarly journals The Experimental Investigation of Using Thermography Inspection for Dry Turning Process Diagnosis

2020 ◽  
Vol 15 ◽  
Keyword(s):  
Cutting Parameters ◽  
Machining Process ◽  
Normal Operation ◽  
Work Piece ◽  
Process Diagnosis ◽  
Machined Parts ◽  
Cutting Zone ◽  
Cutting Point ◽  
Cutting Zone Temperature

Increasing the productivity and the quality of the machined parts are the main challenges of metal-based industry. There has been increased interest in monitoring all aspects of the machining process. When cutting metals and alloys most of the energy required to form the chips is converted into heat. Therefore, the temperatures generated in the cutting zone are an important factor to take into consideration. This factor is of a major importance to the performance of the cutting tool and quality of the work piece. Temperature at the cutting point of the tool is then a crucial parameter for controlling the course of turning process.Temperature monitoring by used of thermovision cameras provides a lot of information about thermal behavior of machines, tools and processes since they monitor large areas during normal operation. The article presents the research results referring to the observation of changes of cutting zone temperature with cutting parameters during turning of AW-7020.

Studying The Effect of a New Mixed Cutting Fluid on Surface Roughness

2020 ◽  
Vol 38 (11A) ◽  
pp. 1593-1601
Author(s):  
Mohammed H. Shaker ◽  
Salah K. Jawad ◽  
Maan A. Tawfiq
Keyword(s):  
Surface Roughness ◽  
Stainless Steel ◽  
Cutting Parameters ◽  
Machining Process ◽  
Cutting Fluid ◽  
Depth Of Cut ◽  
Cutting Fluids ◽  
Machining Processes ◽  
Dry Cutting ◽  
Cutting Speeds

This research studied the influence of cutting fluids and cutting parameters on the surface roughness for stainless steel worked by turning machine in dry and wet cutting cases. The work was done with different cutting speeds, and feed rates with a fixed depth of cutting. During the machining process, heat was generated and effects of higher surface roughness of work material. In this study, the effects of some cutting fluids, and dry cutting on surface roughness have been examined in turning of AISI316 stainless steel material. Sodium Lauryl Ether Sulfate (SLES) instead of other soluble oils has been used and compared to dry machining processes. Experiments have been performed at four cutting speeds (60, 95, 155, 240) m/min, feed rates (0.065, 0.08, 0.096, 0.114) mm/rev. and constant depth of cut (0.5) mm. The amount of decrease in Ra after the used suggested mixture arrived at (0.21µm), while Ra exceeded (1µm) in case of soluble oils This means the suggested mixture gave the best results of lubricating properties than other cases.

scholarly journals Experimental Evaluation of Shear Behavior of Stone Masonry Wall

Materials ◽  
2021 ◽  
Vol 14 (9) ◽  
pp. 2313
Author(s):  
Maria Luisa Beconcini ◽  
Pietro Croce ◽  
Paolo Formichi ◽  
Filippo Landi ◽  
Benedetta Puccini
Keyword(s):  
Shear Behavior ◽  
Stone Masonry ◽  
Masonry Walls ◽  
Mechanical Parameters ◽  
In Situ Tests ◽  
Capacity Curves ◽  
Historical Structures ◽  
Definition Of

The evaluation of the shear behavior of masonry walls is a first fundamental step for the assessment of existing masonry structures in seismic zones. However, due to the complexity of modelling experimental behavior and the wide variety of masonry types characterizing historical structures, the definition of masonry’s mechanical behavior is still a critical issue. Since the possibility to perform in situ tests is very limited and often conflicting with the needs of preservation, the characterization of shear masonry behavior is generally based on reference values of mechanical properties provided in modern structural codes for recurrent masonry categories. In the paper, a combined test procedure for the experimental characterization of masonry mechanical parameters and the assessment of the shear behavior of masonry walls is presented together with the experimental results obtained on three stone masonry walls. The procedure consists of a combination of three different in situ tests to be performed on the investigated wall. First, a single flat jack test is executed to derive the normal compressive stress acting on the wall. Then a double flat jack test is carried out to estimate the elastic modulus. Finally, the proposed shear test is performed to derive the capacity curve and to estimate the shear modulus and the shear strength. The first results obtained in the experimental campaign carried out by the authors confirm the capability of the proposed methodology to assess the masonry mechanical parameters, reducing the uncertainty affecting the definition of capacity curves of walls and consequently the evaluation of seismic vulnerability of the investigated buildings.

Fundamental relations and identities of fuzzy hyperalgebras

2021 ◽  
pp. 1-10
Author(s):  
Narjes Firouzkouhi ◽  
Abbas Amini ◽  
Chun Cheng ◽  
Mehdi Soleymani ◽  
Bijan Davvaz
Keyword(s):  
Universal Algebra ◽  
Equivalence Relation ◽  
Polynomial Function ◽  
Equivalence Relations ◽  
Fundamental Relation ◽  
Term Function ◽  
Biological Phenomena ◽  
Definition Of

Inspired by fuzzy hyperalgebras and fuzzy polynomial function (term function), some homomorphism properties of fundamental relation on fuzzy hyperalgebras are conveyed. The obtained relations of fuzzy hyperalgebra are utilized for certain applications, i.e., biological phenomena and genetics along with some elucidatory examples presenting various aspects of fuzzy hyperalgebras. Then, by considering the definition of identities (weak and strong) as a class of fuzzy polynomial function, the smallest equivalence relation (fundamental relation) is obtained which is an important tool for fuzzy hyperalgebraic systems. Through the characterization of these equivalence relations of a fuzzy hyperalgebra, we assign the smallest equivalence relation α i 1 i 2 ∗ on a fuzzy hyperalgebra via identities where the factor hyperalgebra is a universal algebra. We extend and improve the identities on fuzzy hyperalgebras and characterize the smallest equivalence relation α J ∗ on the set of strong identities.

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