Modeling and multi-objective optimization of low-frequency vibration-assisted chemical machining using central composite design in response surface methodology
نویسندگان
چکیده
Increasing the etching rate is one of main optimization targets in chemical machining (CM). Traditionally, this target fulfilled by some costly techniques like selecting stronger etchants and increasing etchant concentration. Also, other methods temperature stirring agitators are employed for rate. One advantages these reduction consumption acidic which results cost making an eco-friendley process. In article, a systematic experimental study performed on vibration-assisted CM copper. technique, workpiece vibrates during CM. For evaluating performance machining, effects amplitude frequency vibrations, along with concentration etchant, material removal rate, surface roughness undercut studied experimentally. The experiments designed Central Composite Design (CCD) Response Surface Methodology (RSM). multi-objective defining desirability function. optimal vibro-assisted process parameters 60 ̊C, 600 g/l, vibration 25 Hz, 1.5 mm, to get outputs desired parameters.
منابع مشابه
modeling and optimization of ultrasound assisted osmotic dehydration of cranberry using response surface methodology
in this study, we investigated the effects of osmotic process with or without ultrasound on solid gain (sg) and water loss (wl) of cranberries. response surface methodology was used to model and determine the optimum processing conditions for wl and sg during osmotic dehydration of samples. sucrose (40-60%) and salt (0-8%) concentrations, temperature (30-50°c) and frequency of ultrasound (0-130...
متن کاملModeling and Optimization of Mechanical Properties of PA6/NBR/Graphene Nanocomposite Using Central Composite Design
Thermoplastic elastomer of PA6/NBR reinforced by various nanoparticles have wide application in many industries. The properties of these materials depend on PA6, NBR, and nanoparticle amount and characteristics. In this study, the simultaneous effect of NBR and graphene nanoparticle content on mechanical, thermal properties, and morphology of PA6/NBR/Graphene nanocomposites investigated by Cent...
متن کاملModeling and Optimization of Arsenic (III) Removal from Aqueous Solutions by GFO Using Response Surface Methodology
Arsenic is a highly toxic element for human beings, which is generally found in groundwater. Dissolved Arsenic in water can be seen as As+3 and As+5 states. The adsorption process is one of the available methods to remove Arsenic from aqueous solutions. Thus, this papers aims at removing Arsenic (III) from aqueous solutions through adsorption on iron oxide granules. The relation among four inde...
متن کاملModeling and Optimization of Arsenic (III) Removal from Aqueous Solutions by GFO Using Response Surface Methodology
Arsenic is a highly toxic element for human beings, which is generally found in groundwater. Dissolved Arsenic in water can be seen as As+3 and As+5 states. The adsorption process is one of the available methods to remove Arsenic from aqueous solutions. Thus, this papers aims at removing Arsenic (III) from aqueous solutions through adsorption on iron oxide granules. The relation among four inde...
متن کاملModeling and Optimization of Nano-bubble Generation Process Using Response Surface Methodology
In this paper, size distribution of nano-bubbles was measured by the reliable and fast method of laser diffraction technique. Nano-bubbles were produced using a nano-bubble generator designed and made based on hydrodynamic cavitation phenomenon in Venturi tubes. A Central Composite Design with Response Surface Methodology was used to conduct a five factor, five level factorial experimental desi...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Scientia Iranica
سال: 2023
ISSN: ['1026-3098', '2345-3605']
DOI: https://doi.org/10.24200/sci.2023.59618.6339