Design of Experiments for Milling Al2024-T4 under Optimum Lubricant Use Using Taguchi Method | Chapter 4 | Theory and Applications of Engineering Research Vol. 5

Performance of the machining and the efficiency of milling operation depend on several process variables among which hardness of work material is of great significant. The use of cutting fluids is an important part of a machining process system. Without cutting fluid, tools have only a short life, which makes the machining process costly. In this study, experimentation was carried out to investigate the effect of work hardness on end milling process. Workpiece material hardness is used as a noise factor. Input parameters used are spindle speed, feed; depth of cut and tool diameter. The experiments performed under wet and minimum Quantity lubrication and results of both compared. further for getting optimal lubricant conditions the experiments performed for various levels of flow rates of minimum quantity lubrication to get the best optimal setting. Taguchi method is used for single objective optimization. The S/N is used by Taguchi approach to analyze experimental data. Output parameters are surface roughness, material removal rate, cutting force and tool wear. Design of Experiment (DOE) with Taguchi L27 Orthogonal Array (OA) has been explored to produce 27 specimens on Al2024 aluminium by end milling operation at three different levels of hardness of material. The present study can be used for implementing the Minimum Quantity Lubrication Technique in place of conventional Wet Lubrication. The experiments performed under wet and minimum quantity lubrication condition and results compared. Further For optimal lubricant condition the experiments performed at various flow rate of Minimum Quantity Lubrication and “best” optimal setting is identified.

Author(s) Details:

Shilpa B. Sahare,
Department of Mechanical Engineering, Yeshwantrao Chavan College of Engineering, Wanadongri 441110, Nagpur, India.

Sachin P. Untawale,
Department of Mechanical Engineering, Yeshwantrao Chavan College of Engineering, Wanadongri 441110, Nagpur, India.

Prashant D. Kamble,
Department of Mechanical Engineering, Yeshwantrao Chavan College of Engineering, Wanadongri 441110, Nagpur, India.

S. S. Chaudhari,
Raisoni Group of Institution, Maharashtra, India.

Trupati Balvir,
Department of Anatomy, Datta Meghe Medical College Wanadongri, Hingana, Nagpur, Maharashtra, India.

Please see the link here: https://stm.bookpi.org/TAER-V5/article/view/13295

Remote Sensing and GIS Techniques for Studying the Large Roman Urban System Expansion during the Last Twenty Years: A Combined Approach | Chapter 11 | Research Highlights in Mathematics and Computer Science Vol. 7

 Several factors, such as rapid population shifts, poorly organized areas, and a lack of data for monitoring urban growth and land use change, may contribute to the ongoing challenges for spatial planning and policy in megacities such as Rome. This study was conducted to investigate the past and present effects of the urbanization process, occurred over the large Roman urban system, on the basis of multi-source and multi-temporal optical remote sensing (RS) data, collected between 1990 and 2013. These modifications were then validated using Geographic Information System (GIS) techniques in a specific procedure for urban land/agricultural transformations. The proposed method, which is based on geostatistical methods, was used to calculate the index of innovative space (AP Index), which is useful for monitoring the phenomenon of urban sprawl. There is strong evidence of urban expansion in the city's north-eastern quarter, accompanied by environmental degradation and biodiversity loss. Urban infill growth is projected to emerge in the south-eastern areas as well, potentially increasing urban pressure. Finally, RS and GIS technologies, in conjunction with ancillary data, can be used to aid decision-makers in developing future strategies for identifying appropriate solutions to urbanization encroachment.

Author(s) Details:

Emanuele Loret,
Department of Civil Engineering and Computer Science (DISP), University of Rome “Tor Vergata”, Rome, Italy.

Luca Martino,
Directorate of Earth Observation Programmes, EOP-G Department, European Space Agency (ESA), Frascati, Italy.

Maurizio Fea,
Council of Presidency, Italian Geophysical Association (AGI), Rome, Italy.

Francesco Sarti,
Earth Observation Science Strategy, Coordination and Planning Office, Directorate of Earth Observation, European Space Agency (ESA), Frascati, Italy.

Please see the link here: https://stm.bookpi.org/RHMCS-V7/article/view/10005