Optimization of cutting parameters with a sustainable consideration of electrical energy and embodied energy of materials

Question

1. What have the authors contributed in "Optimization of cutting parameters with a sustainable consideration of electrical energy and embodied energy of materials" ?

2. What future works have the authors mentioned in the paper "Optimization of cutting parameters with a sustainable consideration of electrical energy and embodied energy of materials" ?

3. What is the current need to optimize cutting parameter for energy and carbon footprints reducing in CNC?

4. What is the effect of cutting velocity on the tool life?

Accepted Answer

In this paper, an approach of cutting parameter optimization is proposed to maximize energy efficiency and machining efficiency for CNC milling operation.. To verify the proposed multiobjective model, a case study is conducted and the results show that: i ) the optimum cutting parameters of CNC milling process varies with the energy boundary whether including the embodied energy of the auxiliary materials or not ; ii ) cutting parameter optimization for maximum machining efficiency does not necessarily satisfy the maximum energy efficiency criterion ; iii ) the proposed multi-objective optimization model strikes a balance between maximum energy efficiency and maximum machining efficiency.

Accepted Answer

More factory data is also needed to test the proposed model in the future.

Accepted Answer

The current and urgent need to optimize cutting parameter for energy and carbon footprints reducing in CNC milling requires an extension of the energy boundary to take into account the embodied energy all the auxiliary materials.

Accepted Answer

as the cutting velocity is a dominant influence factor of the tool life, higher cutting velocity leads to serious tool wear and an increase of the tool-changing time.

Accepted Answer

Results of the research work showed that electrical energy consumption can be reduced by 13.55% and tool life can be increased by 22.12% with the optimized cutting parameters.

Accepted Answer

With the increase of cutting velocity, feed rate per tooth and cutting depth, the air cutting power, machining power and the MRR will increase, resulting in the increase of the air cutting energy consumption, machining energy consumption and the MRV per unit time.

Accepted Answer

In recent years, the increasing pressure from global energy crisis and climate changes has forcedindustry sector to reduce energy consumption and improve energy efficiency.

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During thetest, the flank wear of the cutting inserts was measured by a VHX-1000 microscope every one minuteuntil the 0.3 mm tool rejection criterion was reached in any of the inserts.

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when the value of cutting velocity, feed rate per tooth and cutting depth is low, the SPTtotal decreases with the increase of cutting velocity, feed rate per tooth and cutting depth.

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With the increase of cutting velocity, the serious tool wear not only increase the tool-changing energy consumption, but also increase the embodied SEC of cutting tool.

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In the CNC milling process, with the increase of cutting velocity, feed rate per tooth and cutting depth, the air cutting time and machining time to remove a specific volume of workpiece will be shortened.

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When the increment of the MRV exceeds that of the air cutting energy consumption and machining energy consumption per unit time, the SECderect will decrease.

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the CNC milling process can be divided into multiple states from the power consumption point of view, i.e. machine tool startup state, standby state, spindle acceleration/deceleration state, air cutting state, cutting state and tool changing state.

Accepted Answer

Constraint (28) ensures the power required for the milling operation will not exceed the maximum output power of the spindle motor, where Pm is the rated power of the spindle motor, and is the overall efficiency of the machine spindle.

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For instance, as reported by Ullah et al. (2011), the energy consumption to fabricate 1 cm3 of tungsten carbide material, which is the main component of cutting tool insert, is 8590–9723.6 kJ.

Accepted Answer

the specific energy consumption (SEC), which refers to the energy consumed to remove1 mm3 of material, is a comprehensive representation method to measure the energy efficiency of the CNC machining system (Campatelli et al., 2014).

Optimization of cutting parameters with a sustainable consideration of electrical energy and embodied energy of materials

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Most frequently asked questions

1. What have the authors contributed in "Optimization of cutting parameters with a sustainable consideration of electrical energy and embodied energy of materials" ?

2. What future works have the authors mentioned in the paper "Optimization of cutting parameters with a sustainable consideration of electrical energy and embodied energy of materials" ?

3. What is the current need to optimize cutting parameter for energy and carbon footprints reducing in CNC?

4. What is the effect of cutting velocity on the tool life?

5. How much can be saved by optimizing cutting parameters?

6. What is the effect of the increase in the cutting velocity?

7. What has forced industry sector to reduce energy consumption and improve energy efficiency?

8. How many times was the flank wear measured?

9. What is the effect of the cutting velocity on the SPTtotal?

10. What is the effect of the increase of cutting velocity on the SECtoal?

11. What is the effect of the increase in the speed of the cutting tool?

12. What is the reason why the SECdirect decreases with the increase of the cutting speed?

13. What is the definition of the energy consumption of the CNC milling process?

14. What is the rated power of the spindle motor?

15. How much energy is used to fabricate a tungsten carbide tool?

16. What is the specific energy consumption of the CNC milling system?

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References

An Environmental Analysis of Machining

Sustainable machining: selection of optimum turning conditions based on minimum energy considerations

Multi-objective optimization of milling parameters – the trade-offs between energy, production rate and cutting quality

Optimization of cutting parameters for minimizing power consumption and maximizing tool life during machining of Al alloy SiC particle composites

Optimization of cutting parameters for minimizing energy consumption in turning of AISI 6061 T6 using Taguchi methodology and ANOVA

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