Process control for aerospace chemical milling process

Author(s):  
Chau Chen Torng ◽  
Chikong Huang ◽  
Hsien Ming Chang
2020 ◽  
Vol 5 (1) ◽  
pp. 36-41
Author(s):  
Yovial Mahyoedin ◽  
Jamasri Jamasri ◽  
Rizky Arman ◽  
Wenny Marthiana ◽  
Suryadima Suryadima

AbstrakPenelitian ini bertujuan untuk mengetahui pengaruh shot peening terhadap kekasaran permukaan produk pembuatan kimia Al 2524-T3 dan Al 2024-T3 yang telah diregangkan. Paduan ini direntangkan melampaui tegangan luluh, yaitu masing-masing 1%, 3% dan 5%, dan kemudian dilakukan proses penggilingan kimia di satu sisi. Etching yang digunakan dalam proses penggilingan kimia adalah larutan NaOH + Na2S + H2O dengan konsentrasi tertentu. Permukaan dilakukan proses shot peening dengan intensitas yang bervariasi masing-masing 0,03 A, 0,05 A dan 0,07 A. Bahan itu kemudian diuji kekasaran permukaan dan kekerasannya. Hasil penelitian menunjukkan bahwa kekasaran permukaan dan kekerasan material meningkat dengan meningkatnya intensitas peening. Namun, ketebalan Al 2524-T3, yang lebih tipis dari Al 2024-T3 menyebabkan tidak signifikannya proses peening shot yang diberikan pada material.. Kata kunci: Shot Peening, Chemical Milling, Kekerasan, Kekasaran Permukaan AbstractThis study aims to investigate the influence of shot peening on hardness and surface roughness of chemical mlling product Al 2524-T3 and Al 2024-T3 which have been stretched. These alloys were stretched beyond yield stress, namely 1%, 3% and 5% of each, and then performed chemical milling process of one side. The etching used in chemical milling process were NaOH+Na2S+H2O solutions with certain concentration. The surface was performed shot peening process with varying intensity of 0.03 A, 0.05 A and 0.07 A respectively. The material were then tested its surface roughness and hardness. The results show that surface roughness and hardness of material increases with the increase of peening intensity. However, the thickness of Al 2524–T3, which is thinner than Al 2024-T3 causing insignificance of the shot peening process given to the materials. Keywords: Shot Peening, Chemical Milling, Hardness, Surface Roughness


2010 ◽  
Author(s):  
C. Leone ◽  
V. Lopresto ◽  
F. Memola Capece Minutolo ◽  
I. De Iorio ◽  
N. Rinaldi

2017 ◽  
Vol 29 (1) ◽  
pp. e40-e45
Author(s):  
Rui Neto ◽  
Teresa Duarte ◽  
Jorge Lino Alves ◽  
Francisco Torres ◽  
João Pinto

2014 ◽  
Vol 800-801 ◽  
pp. 666-671
Author(s):  
Bin Jiang ◽  
Kai Zhang ◽  
Lin Yang ◽  
Ming Hui Zhang ◽  
Sheng Jie Wang

The existing processes of controlling machining error just controlled the maximum error. However, it did not effectively control the distribution of the error.The reliability of the assembly precision of the key joint surface did not meet the requirements, thereby affecting the service performance of machine tool. To solve this problem, the error matrix and transformation matrix was used to ascertain the location of joint surface positioning error occurred. The influence of processing error on the the positioning accuracy of machine tool was analyzed. The control objective of milling process was proposed. At the same time, the effects of cutting parameters on the processing error were also studied according to the milling experiments. The process error and its distribution characteristics of joint surface were obtained by analyzing the relationship between deformation of joint surface and cutting parameters. The milling process control methods were proposed.


2009 ◽  
Vol 2009.4 (0) ◽  
pp. 225-226
Author(s):  
Soichi IBARAKI ◽  
Takuya SHIMIZU ◽  
Atsushi MATSUBARA

1996 ◽  
Vol 118 (4) ◽  
pp. 514-521 ◽  
Author(s):  
Y. Altintas¸ ◽  
W. K. Munasinghe

Modular integration of sensor based milling process monitoring and control functions to a proposed CNC system architecture is presented. Each sensor based process control algorithm resides in a dedicated processor in the AT bus with a modular software. The CNC system’s motion control module has been designed to accomodate rapid manipulation of feeds, cutting conditions and NC tool path which may be demanded by machining process control modules in real time. Modular integration of adaptive control of cutting forces, tool condition monitoring, chatter detection and suppression tasks are illustrated as examples. The process control and monitoring modules are serviced in the real-time multi-tasking environment within one millisecond time intervals without disturbing the position control system. The paper present constraints and guidelines in designing CNC systems which allow modular integration of user developed real time machining process control and monitoring applications.


Author(s):  
Uroš Župerl ◽  
Franci Čuš

A cyber-psychical machining system (CPMS) is developed to realize smart end-milling process monitoring. The CPMS provides a novel way for controlling the cutting chip size and monitoring the surface roughness in milling processes through Internet of Things (IoT) applications. The two level CPMS is realized by linking the IoT machining platform for process control to the machine tool with integrated visual system (VS). The VS is employed to acquire the signals of the cutting chip size during the machining of difficult to cut materials. The machining platform performs instant chip size and surface roughness control based on advanced signal processing, edge computing, modeling and cognitive corrective process control acting. A cognitive neural control system (CNCS) is employed to control the chip size by modifying the machining parameters and consequently maintaining surface roughness constant. An adaptive neural inference system (ANFIS) is applied to precisely model and in-process predict the surface roughness. Machining tests conducted using the proposed CPMS indicate that the cutting chip size and consequently the produced surface roughness are well maintained when the cutting-depth profile of a workpiece is varying step-wise or continuously.


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