Energy Consumption Model of Diamond Disc Sawing Machine with Variable Material Removal Rate

Author(s):  
Liqiang Luan ◽  
Shuowei Bai
2021 ◽  
Vol 5 (3) ◽  
pp. 78
Author(s):  
Mohammad Muhshin Aziz Khan ◽  
Shanta Saha ◽  
Luca Romoli ◽  
Mehedi Hasan Kibria

This paper focuses on optimizing the laser engraving of acrylic plastics to reduce energy consumption and CO2 gas emissions, without hindering the production and material removal rates. In this context, the role of laser engraving parameters on energy consumption, CO2 gas emissions, production rate, and material removal rate was first experimentally investigated. Grey–Taguchi approach was then used to identify an optimal set of process parameters meeting the goal. The scan gap was the most significant factor affecting energy consumption, CO2 gas emissions, and production rate, whereas, compared to other factors, its impact on material removal rate (MRR) was relatively lower. Moreover, the defocal length had a negligible impact on the response variables taken into consideration. With this laser-process-material combination, to achieve the desired goal, the laser must be focused on the surface, and laser power, scanning speed, and scan gap must be set at 44 W, 300 mm/s, and 0.065 mm, respectively.


Materials ◽  
2019 ◽  
Vol 12 (6) ◽  
pp. 939 ◽  
Author(s):  
Amelia Nápoles Alberro ◽  
Hernán González Rojas ◽  
Antonio Sánchez Egea ◽  
Saqib Hameed ◽  
Reyna Peña Aguilar

Grinding energy efficiency depends on the appropriate selection of cutting conditions, grinding wheel, and workpiece material. Additionally, the estimation of specific energy consumption is a good indicator to control the consumed energy during the grinding process. Consequently, this study develops a model of material-removal rate to estimate specific energy consumption based on the measurement of active power consumed in a plane surface grinding of C45K with different thermal treatments and AISI 304. This model identifies and evaluates the dissipated power by sliding, ploughing, and chip formation in an industrial-scale grinding process. Furthermore, the instantaneous positions of abrasive grains during cutting are described to study the material-removal rate. The estimation of specific chip-formation energy is similar to that described by other authors on a laboratory scale, which allows to validate the model and experiments. Finally, the results show that the energy consumed by sliding is the main mechanism of energy dissipation in an industrial-scale grinding process, where it is denoted that sliding energy by volume unity decreases as the depth of cut and the speed of the workpiece increase.


Author(s):  
Sushrut Pavanaskar ◽  
Sara McMains

This paper describes our work on analyzing and modeling energy consumption in CNC machining with an emphasis on the geometric aspects of toolpaths. We address effects of geometric and other aspects of toolpaths on energy consumed in machining by providing an advanced energy consumption model for CNC machining. We performed several controlled machining experiments to isolate, identify, and analyze the effects of various aspects of toolpaths (such as path parameters, angular change, etc.) on energy consumption. Based on our analyses, we developed an analytical energy consumption model for CNC machining that, along with the commonly used input of material removal rate (MRR), incorporates the effects of geometric toolpath parameters as well as effects of machine construction when estimating energy requirements for a toolpath. We also developed a simple web-based software interface to our model, that, once customized for a particular CNC machine, provides energy requirement estimates for a toolpath given its G/M code. Such feedback can help process planners and CNC machine operators make informed choices when generating/selecting toolpath alternatives using commercial CAM software.


Author(s):  
C. Camposeco-Negrete ◽  
J. Calderón-Nájera ◽  
J. C. Miranda-Valenzuela

Environmental and energy efficiency awareness of manufacturers and customers along with high electricity costs have promoted the development of strategies to reduce energy consumption in manufacturing processes. Machine tools are one of the main contributors to energy consumption in the industrial sector. Several studies have been undertaken to optimize the cutting parameters in order to minimize the power consumed in the removal of material. However, these studies do not consider the influence that different combinations of cutting parameters can have on power consumption at a constant material removal rate, quantity that has a direct influence in production rates. This paper describes an experimental study of AISI 1018 steel turning under roughing conditions and constant material removal rate, in order to obtain the cutting parameters that minimize power consumption. Robust design is used to analyze the effects of the depth of cut, feed rate and cutting speed on electric power consumed.


IEEE Access ◽  
2020 ◽  
Vol 8 ◽  
pp. 173267-173275
Author(s):  
Mo Yang ◽  
Dinghua Zhang ◽  
Baohai Wu ◽  
Yunpeng Zhang

2020 ◽  
Vol 107 (7-8) ◽  
pp. 3511-3525 ◽  
Author(s):  
Danil Yu. Pimenov ◽  
Adel Taha Abbas ◽  
Munish Kumar Gupta ◽  
Ivan N. Erdakov ◽  
Mahmoud Sayed Soliman ◽  
...  

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