scholarly journals Influence of different input parameters on the contact conditions determing the surface integrity of workpieces in an unguided vibratory finishing process

Procedia CIRP ◽  
2018 ◽  
Vol 71 ◽  
pp. 53-58 ◽  
Author(s):  
Maximilian Lachenmaier ◽  
Alexander Dehmer ◽  
Daniel Trauth ◽  
Patrick Mattfeld ◽  
Fritz Klocke
Keyword(s):  
Surface Integrity ◽  
Vibratory Finishing ◽  
Contact Conditions ◽  
Finishing Process ◽  
Input Parameters

Analysis of the Acceleration Transfer in the Unguided Vibratory Finishing Process

2019 ◽  
Author(s):  
Maximilian Lachenmaier ◽  
Marius Ohlert ◽  
Daniel Trauth ◽  
Thomas Bergs
Keyword(s):  
Removal Rate ◽  
Contact Forces ◽  
Vibratory Finishing ◽  
Contact Conditions ◽  
Measurement Systems ◽  
Finishing Process ◽  
Transfer Behavior ◽  
Input Variables ◽  
Finishing Processes ◽  
First Time

Abstract The work bowl acceleration of a vibratory finishing machine is mainly determined by the process input variables, e. g. the mass distribution between the upper and the lower imbalance weights, the offset angle between these imbalance weights and the rotational speed of the imbalance motor. The acceleration of the work bowl has a strong effect on the acceleration of the abrasive media and workpiece within the work bowl and thus on their movement. This movement indirectly determines the contact conditions, contact forces and relative velocities, between the abrasive media and the workpiece. The contact conditions have a strong effect on the material removal rate and the surface roughness of the machined workpieces in a vibratory finishing process. Due to the fact that the contact conditions can hardly be measured during the vibratory finishing process a comprehensive understanding of the transfer behavior of the work bowl acceleration on the acceleration of the abrasive media and the workpiece and thus on the prevailing contact conditions is necessary. Therefore, this publication presents an innovative approach to identify these cause-effect relationships, in order to determine the machining intensity based on the work bowl acceleration as a function of the process input variables. Hence, new measurement systems are presented which enable the determination of the acceleration of the abrasive media and the workpiece as a function of the acceleration of the work bowl of a vibratory finishing machine for the first time. Based on these investigations it is possible to identify significant areas for the work bowl acceleration, as well as for the acceleration of the abrasive media and the workpiece and thus for the contact conditions, contact forces and relative velocities, which can be used for a targeted control of the machining intensity of vibratory finishing processes.

scholarly journals Predictive Models of Double-Vibropolishing in Bowl System Using Artificial Intelligence Methods

2019 ◽  
Vol 3 (1) ◽  
pp. 27
Author(s):  
Joselito Alcaraz ◽  
Kunal Ahluwalia ◽  
Swee-Hock Yeo
Keyword(s):  
Surface Roughness ◽  
Predictive Modelling ◽  
Surface Finishing ◽  
Configuration Model ◽  
Percentage Error ◽  
Vibratory Finishing ◽  
Exponential Regression ◽  
Finishing Process ◽  
Family Of Curves ◽  
Exponential Regression Model

Vibratory finishing is a versatile and efficient surface finishing process widely used to finish components of various functionalities. Research efforts were focused in fundamental understanding of the process through analytical solutions and simulations. On the other hand, predictive modelling of surface roughness using computational intelligence (CI) methods are emerging in recent years, though CI methods have not been extensively applied yet to a new vibratory finishing method called double-vibropolishing. In this study, multi-variable regression, artificial neural networks, and genetic programming models were designed and trained with experimental data obtained from subjecting rectangular Ti-6Al-4V test coupons to double vibropolishing in a bowl system configuration. Model selection was done by comparing the mean-absolute percentage error and r-squared values from both training and testing datasets. Exponential regression was determined as the best model for the bowl double-vibropolishing system studied with a Test MAPE score of 6.1% and a R-squared score of 0.99. A family of curves was generated using the exponential regression model as a potential tool in predicting surface roughness with time.

Tribological behavior of aluminum alloys in a vibratory finishing process

Wear ◽  
2003 ◽  
Vol 255 (7-12) ◽  
pp. 1369-1379 ◽  
Author(s):  
Mohammad Reza Baghbanan ◽  
Akihiro Yabuki ◽  
Roland S. Timsit ◽  
Jan K. Spelt
Keyword(s):  
Aluminum Alloys ◽  
Tribological Behavior ◽  
Vibratory Finishing ◽  
Finishing Process

Experimental Investigation of Vibratory Finishing Process

2014 ◽  
Author(s):  
Xiaozhong Song ◽  
Rahul Chaudhari ◽  
Fukuo Hashimoto
Keyword(s):  
Surface Roughness ◽  
Experimental Investigation ◽  
Metal Removal ◽  
Contact Forces ◽  
Chemical Solution ◽  
Impact Frequency ◽  
Vibratory Finishing ◽  
Factors Affecting ◽  
Finishing Process ◽  
Chemical Solutions

The vibratory finishing process is widely used for finishing metal components. An experimental investigation is reported on the factors affecting the metal removal and resultant surface roughness during vibratory finishing including the influence of chemical solutions. The effect of process parameters such as media size and impact frequency is studied by measuring the contact forces. A method to investigate the effect of chemical solution and to optimize the processing time to achieve desired resultant surface roughness is presented.

Minimum surface roughness using rule-based modeling of the vibratory finishing process in a high-frequency bowl system

2020 ◽  
Vol 234 (11) ◽  
pp. 1415-1421
Author(s):  
Ben Jin Wong ◽  
Ketav Majumdar ◽  
Kunal Ahluwalia ◽  
Swee-Hock Yeo
Keyword(s):  
First Principles ◽  
High Frequency ◽  
Force Sensor ◽  
Vibratory Finishing ◽  
Microscopy Imaging ◽  
Newtonian Physics ◽  
Mass Finishing ◽  
Finishing Process ◽  
Finishing Processes ◽  
Made In

Previous work on vibratory finishing has led to a better understanding and establishment of the mass finishing processes. Despite the sustained efforts made to date, vibratory finishing remains a field where the findings made have been based largely on empirical evidence. Through force sensor analyses and scanning electron microscopy imaging, in this work a successful attempt has been made in uncovering the underlying science—through first principles of Newtonian physics—behind vibratory finishing, providing explanations for the observations made. Trials were carried out in a high-frequency vibratory bowl, the first of its kind in the vibratory finishing industry. Through these trials, mathematical formulations have been derived, essentially providing a reliable way for the industry to estimate the process cycle time.

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