Optimization of roundness error in deep hole drilling using moth-flame optimization

2021 ◽  
Author(s):  
Anis Farhan Kamaruzaman ◽  
Azlan Mohd Zain ◽  
Noordin Mohd Yusof ◽  
Farhad Nadjarian ◽  
Rozita Abdul Jalil
Keyword(s):  
Hole Drilling ◽  
Deep Hole ◽  
Roundness Error ◽  
Deep Hole Drilling

scholarly journals Roundness Error Study in Deep Hole Drilling of Cold Mold Steel 718

2017 ◽  
Vol 10 (13) ◽  
pp. 1-5 ◽  
Author(s):  
Azizah Mohamad ◽  
Azlan Mohd Zain ◽  
Nor Bahiah Hj. Ahmad ◽  
Noordin Mohd Yusof ◽  
Farhad Najarian ◽  
...  
Keyword(s):  
Hole Drilling ◽  
Deep Hole ◽  
Roundness Error ◽  
Deep Hole Drilling ◽  
Error Study

scholarly journals Roundness Error in Deep Hole Drilling using Twist Drills and Cold Mold Steel 718

2017 ◽  
Vol 10 (17) ◽  
pp. 1-6 ◽  
Author(s):  
Anis Farhan Kamaruzaman ◽  
Azlan Mohd Zain ◽  
Noorfa Haszlinna Mustaffa ◽  
Noordin Mohd Yusof ◽  
Farhad Najarian ◽  
...  
Keyword(s):  
Hole Drilling ◽  
Deep Hole ◽  
Roundness Error ◽  
Deep Hole Drilling ◽  
Twist Drills

scholarly journals Optimization of Roundness Error in Deep Hole Drilling using Cuckoo Search Algorithm

2019 ◽  
Vol 18 (3) ◽  
pp. 44-48
Author(s):  
Azizah Mohamad ◽  
Azlan Mohd Zain ◽  
Razana Alwee ◽  
Noordin Mohd Yusof ◽  
Farhad Najarian
Keyword(s):  
Search Algorithm ◽  
Cuckoo Search ◽  
Cuckoo Search Algorithm ◽  
Machining Process ◽  
Hole Drilling ◽  
Machining Parameters ◽  
Deep Hole ◽  
Roundness Error ◽  
Deep Hole Drilling ◽  
Minimum Value

In the manufacturing industry, machining is a part of all manufacture in almost all metal products. Machining of holes is one of the most common processes in the manufacturing industries. Deep hole drilling,  DHD is classified as a complex machining process .This study presents an optimization of machining parameters in DHD using Cuckoo Search algorithm, CS comprising feed rate (f), spindle speed (s), depth of hole (d) and Minimum Quantity Lubrication MQL, (m). The machining performance measured is roundness error, Re. The real experimentation was designed based on Design of Experiment, DoE which is two levels full factorial with an added centre point. The experimental results were used to develop the mathematical model using regression analysis that used in the optimization process. Analysis of variance (ANOVA) and Fisher‘s statistical test (F-test) are used to check the significant of the model developed.  According to the results obtained by experimental the minimum value of Re  is 0.0222µm and by CS is 0.0198µm. For the conclusion, it was found that CS is capable of giving the minimum value of Re as it outperformed the result from the experimental.

Deep Hole Drilling Technique (DHD)

2019 ◽  
Vol 88 (6) ◽  
pp. 485-488
Author(s):  
Shinji KAWAI ◽  
Takuya NAGAI ◽  
Shigetaka OKANO
Keyword(s):  
Hole Drilling ◽  
Deep Hole ◽  
Deep Hole Drilling ◽  
Drilling Technique

scholarly journals Temperature monitoring in the subsurface during single lip deep hole drilling

2020 ◽  
Vol 87 (12) ◽  
pp. 757-767
Author(s):  
Robert Wegert ◽  
Vinzenz Guski ◽  
Hans-Christian Möhring ◽  
Siegfried Schmauder
Keyword(s):  
Cutting Parameters ◽  
Drill Hole ◽  
Machining Process ◽  
Hole Drilling ◽  
Drilling Process ◽  
Deep Hole ◽  
Machining Processes ◽  
Deep Hole Drilling ◽  
Feed Force ◽  
Cutting Zone

AbstractThe surface quality and the subsurface properties such as hardness, residual stresses and grain size of a drill hole are dependent on the cutting parameters of the single lip deep hole drilling process and therefore on the thermomechanical as-is state in the cutting zone and in the contact zone between the guide pads and the drill hole surface. In this contribution, the main objectives are the in-process measurement of the thermal as-is state in the subsurface of a drilling hole by means of thermocouples as well as the feed force and drilling torque evaluation. FE simulation results to verify the investigations and to predict the thermomechanical conditions in the cutting zone are presented as well. The work is part of an interdisciplinary research project in the framework of the priority program “Surface Conditioning in Machining Processes” (SPP 2086) of the German Research Foundation (DFG).This contribution provides an overview of the effects of cutting parameters, cooling lubrication and including wear on the thermal conditions in the subsurface and mechanical loads during this machining process. At first, a test set up for the in-process temperature measurement will be presented with the execution as well as the analysis of the resulting temperature, feed force and drilling torque during drilling a 42CrMo4 steel. Furthermore, the results of process simulations and the validation of this applied FE approach with measured quantities are presented.

scholarly journals Cutting-fluid flow with chip evacuation during deep-hole drilling with twist drills

2021 ◽  
Author(s):  
Andreas Baumann ◽  
Ekrem Oezkaya ◽  
Dirk Schnabel ◽  
Dirk Biermann ◽  
Peter Eberhard
Keyword(s):  
Fluid Flow ◽  
Cutting Fluid ◽  
Hole Drilling ◽  
Deep Hole ◽  
Deep Hole Drilling ◽  
Twist Drills
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