scholarly journals Design and optimization of CNC based polishing process

2021 ◽  
Author(s):  
James Lambie

In recent years many aerospace manufacturing corporations have taken an initiative to eliminate the manual interaction of workers and moving work pieces. At the same time there is an ever-increasing demand for efficiency in the manufacturing sector. The research performed investigates the design and development of passive compliance polishing tools for both external and internal polishing of parts on a CNC turning center. The goal of this thesis is to develop tools that meet new safety demands while at the same time optimizing the tools through the Taguchi method and process planning in order to meet quality standards cost effectively. Experiments on both test pieces and production parts were conducted not only at Ryerson University but at Messier-Dowty as well.

2021 ◽  
Author(s):  
James Lambie

In recent years many aerospace manufacturing corporations have taken an initiative to eliminate the manual interaction of workers and moving work pieces. At the same time there is an ever-increasing demand for efficiency in the manufacturing sector. The research performed investigates the design and development of passive compliance polishing tools for both external and internal polishing of parts on a CNC turning center. The goal of this thesis is to develop tools that meet new safety demands while at the same time optimizing the tools through the Taguchi method and process planning in order to meet quality standards cost effectively. Experiments on both test pieces and production parts were conducted not only at Ryerson University but at Messier-Dowty as well.


Author(s):  
Ashish Bawkar

This work aims towards the design and optimization of the drive shaft as there is increasing demand for weight reduction in an automobile vehicle. The drive shaft is basically a torque transmitting element which transmit the torque from the differential gearbox to the respective wheels. In general, the drive shafts are subjected to fluctuating loads as the torque requirement changes according to the road conditions. Due to this, the drive shaft should be designed considering fatigue failure. The Maruti Suzuki Ertiga model is chosen for design and optimization of the drive shaft. For the fatigue life predicting of the drive shaft, the S-N curve approach is used. Furthermore, the inner diameter of the shaft is varied to obtain the optimized diameter of a hollow shaft which can withstand these fluctuating loads without failure. Along with fatigue life prediction, the natural frequency of the hollow shaft is also calculated. Furthermore, the parametric analysis is carried out of fatigue FOS, Von mises stress, weight and natural frequency of the shaft by varying the diameter ratio of the hollow shaft, and the nature of variation of these parameters are plotted in their respective graphs. The design is validated by performing FEA analysis for each case of a hollow shaft using Ansys software. Finally, from the FEA analysis we conclude that the optimized dimensions of the hollow drive shaft are safe.


2020 ◽  
Vol 10 (2) ◽  
pp. 85-90
Author(s):  
Al-Zgoul Mohammad ◽  
Attila Szilágyi

This paper shows the most common rotor systems which can be used to analyse a CNC turning center. Starting with the simplest rotor system representation (single-degree-offreedom) up to analysing multi-degree-of-freedom and infinite-degree-of-freedom rotor systems using the TMM (Transfer Matrix Method) when it comes to cases like multi desk rotors and Jeffcott-rotors.


2020 ◽  
Vol 167 ◽  
pp. 105266 ◽  
Author(s):  
Shuang Ding ◽  
Zhanqun Song ◽  
Weiwei Wu ◽  
Erkuo Guo ◽  
Xiaodiao Huang ◽  
...  

Author(s):  
Sagil James ◽  
Alejandro Cervantes

Abstract Lean manufacturing practices focus on minimizing all forms of waste from the production system. The applicability of lean manufacturing concepts and principles has often been questioned in sectors including aerospace manufacturing primarily due to their high variety - low volume environments. The key challenges include the difficulty in changing the factory layout, lack of plant-specific manufacturing strategies, lack of benchmarking between manufacturing plants and non-existence of learning through experimentation culture. Consequently, the aerospace manufacturing industries have struggled to implement lean principles over the years successfully. Industry 4.0 is a new paradigm that is significantly influencing several manufacturing industries across the globe. Applying the concepts of Industry 4.0 along with the conventional lean transformation technology could potentially address these challenges. The focus of this research is to study the possibilities of integrating Industry 4.0 tools with existing lean manufacturing philosophies within the aerospace manufacturing sector in order to improve various aspects of manufacturing processes in a cyber-physical environment. A case study is performed considering a quality inspection department in a typical aerospace industry. The case study is simulated using discrete event simulation tool — Arena. The study found that a hybrid approach involving the holistic merger of the lean principles along with the Industry 4.0 tools known as Lean Industry 4.0 is the best way forward for the aerospace manufacturing sector. The outcomes of this research provide an understanding of the role of industry 4.0 paradigm and their implementation in several other high-technology and high-risk manufacturing sectors including life sciences, space, and defense industries.


Author(s):  
M Regus ◽  
A Patalas ◽  
R Łabudzki ◽  
F Sarbinowski ◽  
R Talar
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