Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/545874
Title: Production process parameters optimization and characterization of aluminium stainless steel bimetallic castings
Researcher: Raja, V
Guide(s): Kavitha, M
Keywords: Bimetals
Engineering
Engineering and Technology
Engineering Mechanical
heat transfer
non-ferrous materials
University: Anna University
Completed Date: 2024
Abstract: Ability to join the ferrous and non-ferrous materials initiate a new newlineera of materials age to produce functionally graded lightweight components newlinewith enhanced/ combination of properties for heat transfer, defence, aerospace, newlineand automotive applications. Bimetals are the dissimilar metal/alloy newlinecombinations casted in a single or two stages to produce a metallurgically newlinebonded monolithic part with two/more distinct properties. Bond quality of newlinebimetallic castings depends on the process parameters employed during casting newlineand solidification process. In this research, Aluminium- stainless steel newlinebimetallic pipe castings were produced by lost foam compound casting method, newlinewhere decomposable thermocol moulds were used. Molten pure aluminium newlinewas poured over SS 304 stainless steel pipe (18 mm ID X 30 mm height) to get newlinea bimetallic pipe (50 mm OD X 30 mm height) for hot chemical transfer newlineapplications. The produced castings were machined and polished for further newlinecharacterization and testing using Optical Microscopy, Scanning Electron newlineMicroscopy with Energy Dispersive Spectroscopy, liquid penetrant testing and newlineshear punch test. The influence of important process parameters like Pouring newlineTemperature (PT), Insert Temperature (IT), Insert Thickness (ITC), surface newlineroughness (Ra) and interlayer/bond coatings over the pipe were correlated with the newlineresultant bond strength of the produced castings. Hybrid optimization techniques newlineconsists of Response Surface Methodology (RSM) and Genetic Algorithm (GA) newlinewere used to optimize these process parameters to get the maximum bond strength newlinein the produced BmCs. newlineInitially, twenty seven experiments were planned as per the newlineBox-Behnken design of experiments method accounting the pouring newlinetemperature (670and#61551;C to 730and#61551;C), insert preheat temperature (100and#61551;C to 400and#61551;C), newlineinsert thickness (1 mm to 3 mm), and surface roughness (0.3 µm to 0.9 µm) newlinewith the above mentioned maximum and minimum values as inputs. newline
Pagination: xxiv,166p.
URI: http://hdl.handle.net/10603/545874
Appears in Departments:Faculty of Mechanical Engineering

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01_title.pdfAttached File24.53 kBAdobe PDFView/Open
02_prelim pages.pdf2.71 MBAdobe PDFView/Open
03_content.pdf191.79 kBAdobe PDFView/Open
04_abstract.pdf122.01 kBAdobe PDFView/Open
05_chapter1.pdf253.92 kBAdobe PDFView/Open
06_chapter2.pdf487.78 kBAdobe PDFView/Open
07_chapter3.pdf636.11 kBAdobe PDFView/Open
08_chapter4.pdf977.31 kBAdobe PDFView/Open
09_chapter5.pdf1.36 MBAdobe PDFView/Open
10_chapter6.pdf716.39 kBAdobe PDFView/Open
11_annexures.pdf129.4 kBAdobe PDFView/Open
80_recommendation.pdf141.34 kBAdobe PDFView/Open
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