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2018.html
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<!DOCTYPE html>
<html lang="en">
<head>
<meta charset="UTF-8">
<meta http-equiv="X-UA-Compatible" content="IE=edge">
<meta name="viewport" content="width=device-width, initial-scale=1.0">
<title>Document</title>
<script src="https://cdn.tailwindcss.com"></script>
</head>
<body>
<div class="content w-full h-full block">
<div class="container flex justify-center items-center w-fit text-center mx-auto my-auto bg-blue-100">
<div class="matter m-5 p-5">
<div class="heading text-4xl mt-2 font-serif text-center">
<h2>Publications-2014</h2>
</div>
<div class="sub text-2xl mt-2 font-serif text-left ">Journal </div>
<ul class="flex flex-col text-left bg-blue-50 rounded-2 text-black">
<li class="mt-5 p-5">
<p class="text-1xl font-semibold"> A review of recent progress in solid state
fabrication of composites and functionally
graded systems via friction stir processing</p>
<p>Authors-Manu srivastava,Sandeep Rathee, Sachin Maheshwari, Arshad Noor Siddiquee.</p>
<p>Publisher- Taylor & Francis</p>
<p> Description- Friction stir processing (FSP) is a rapidly emerging newer solid-state
technique
for composite fabrication. It involves surface modification which in turn enables successful
adaptation of surface properties through plastic deformations in solid state. During initial
years of FSP inception, it was primarily employed in development of metal matrix composites
of
light metal alloys like aluminum. However, recently, it has gained an alluring role in
fabrication of composites of various nonferrous and ferrous metal alloys as well as of
polymers.
In addition to composite fabrication, FSP has evolved as a revolutionary technique in
developing
functionally graded systems/surfaces (FGS) of metal matrix. This article covers all aspects
of
FSP in which reinforcement particles are embedded in the base matrix to develop composites
and
FGS.</p>
</li>
<li class="mt-5 p-5">
<p class="text-1xl font-semibold"> Optimisation of FDM process parameters by Taguchi method for
imparting customised properties to components</p>
<p> Authors-Manu Srivastava, Sandeep Rathee</p>
<p> Publisher-Taylor & Francis</p>
<p> Description- Customisation of material properties by route of controlling the process parameters
is a landmark ability of the additive manufacturing (AM) processes. Parametric optimisation of
fused deposition modelling process using Fortus 250mc modeller is accomplished for conical
primitives of constructive solid geometry in the present research. Experiments were designed
according to the Taguchi technique for four factors at three levels each- slice height (SH),
contour width (CW), raster width and air gap (AG). Analysis of signal-to-noise ratios is
utilised for establishing the optimal process parameters and the relative percentage
contribution of factors is estimated using ANOVA. Optimal levels of process parameters are found
to vary with the variation in the type of basic shape of primitive. It has been established that
AG has a maximum impact over the part build volume followed by CW and SH.</p>
</li>
<li class="mt-5 p-5">
<p class="text-1xl font-semibold">Distribution of reinforcement particles in surface composite
fabrication via friction stir processing: suitable strategy</p>
Authors-Manu Srivastava,Sandeep Rathee, Sachin Maheshwari, Arshad Noor Siddiquee.
Journal-Materials and Manufacturing Processes
Publisher-Taylor & Francis
Description-Fabrication of metal matrix surface composites (SCs) is an emerging trend of
friction stir processing applications. Key factors affecting the properties of SCs are process
parameters, tool geometry, tool dimensions and reinforcement strategies. In this research,
effects of different reinforcement strategies and varying tool offset positions on dispersion of
reinforcement particles in the base matrix are investigated. The experiments were performed in
two phases using AA6063 as base metal at constant process parameters of 1120 rpm rotational
speed, 40 mm/min traverse speed and 2.5° tilt angle. In the first phase, effect of six different
reinforcement strategies on the reinforcement particles distribution and defect formation was
studied. It was found that groove method with tool offset in retreating side (RS) exhibited
better homogeneity in reinforcement distribution out of the six reinforcement strategies
considered.
</li>
<li class="mt-5 p-5">
<p class="text-1xl font-semibold">Friction based additive manufacturing technologies: principles
for building in solid state, benefits, limitations, and applications.</p>
<p> Authors-Manu srivastava,Sandeep Rathee,Sachin Maheshwari, TK Kundra, Arshad Noor Siddiquee</p>
<p> Publisher-CRC Press</p>
<p> Description- Currently, most of the major commercial metal additive manufacturing (MAM)
techniques rely on liquid phase processing. The liquid to solid phase transformations in these
techniques results in microstructural issues and defects which in turn tantamount to inferior
properties of fabricated build. Friction based additive manufacturing technologies are solid
state processing techniques which work on the principles of friction based joining processes and
layer by layer additive manufacturing. This book primarily addresses the basic understanding of
seven friction based additive manufacturing techniques. These techniques include additive
manufacturing methods based on rotary friction welding, linear friction welding, friction
deposition, friction surfacing, friction stir additive manufacturing, friction assisted seam
welding and additive friction stir.</p>
</li>
<li class="mt-5 p-5">
<p class="text-1xl font-semibold"> Multi-objective optimisation of fused deposition modelling
process parameters using RSM and fuzzy logic for build time and support material.</p>
<p> Authors- Manu Srivastava, Sandeep Rathee, Sachin Maheshwari, TK Kundra.</p>
<p> Journal- International Journal of Rapid Manufacturing</p>
<p> Publisher- Inderscience Publishers (IEL)</p>
<p> Description:Additive manufacturing (AM) is around three-decade-old technology and enables quick
transition from concept to physical models in a matter of hours. Fused deposition modelling
(FDM) is a promising and robust AM technique with proven ability to build prototypes of complex
and intricate shapes using reasonable time and cost. Optimisation of FDM process requires
optimisation of various qualitative and quantitative responses. This work presents
multi-objective FDM optimisation using RSM embedded fuzzy logic analysis. Six process parameters
and two responses are considered for the current experimentation on Fortus 250mc modeller based
on FDM technology.
</p>
</li>
<li class="mt-5 p-5">
<p class="text-1xl font-semibold"> Influence of multiple-passes on microstructure and mechanical
properties of Al-Mg/SiC surface composites fabricated via underwater friction stir
processing.</p>
<p>Authors- Manu Srivastava, Sandeep Rathee, Sachin Maheshwari, Arshad Noor Siddiquee.</p>
<p> Journal- Materials Research Express</p>
<p> Publisher- IOP Publishing</p>
<p> Description-Friction stir processing (FSP) is a relatively newly developed solid-state process
involving surface modifications for fabricating metal matrix surface composites. Obtaining metal
matrix nano-composites with uniform dispersion of reinforcement particles via FSP route is an
intricate task to accomplish. In this work, AA5059/SiC nano surface composites (SCs) were
developed. Effect of multiple FSP passes and SiC addition on microstructure and mechanical
properties of fabricated SCs during underwater condition was investigated. Results reflected
that the average microhardness value of base metal (BM) increases from 85 Hv to 159 Hv in stir
zone of four pass underwater friction stir processed (FSPed) SC.</p>
</li>
<li class="mt-5 p-5">
<p class="text-1xl font-semibold"> Investigation on underwater FSP of Al-Mg-Si alloy surface
composites.</p>
<p> Authors-Manu Srivastava, Sandeep Rathee, Sachin Maheshwari, Arshad Noor Siddiquee</p>
<p> Journal-Materials Research Express</p>
<p> Publisher-IOP Publishing</p>
<p> Description-In present research, parametric effects of underwater friction stir processing
(UWFSP) upon microstructural and mechanical properties is investigated for AA6082/SiC surface
composites. Experimental design was accomplished using Taguchi technique and three factors at
three levels each were utilized. These factors include-rotational speed of tool, traverse speed
of tool and tool shoulder diameter. Responses such as microhardness, ultimate tensile strength
(UTS), yield strength (YS) and percentage elongation (% EL) are modeled using regression
analysis based on Taguchi's orthogonal array design of experiment. Optimum combinations of
process parameters were determined for the selected responses. It was found that each of three
process parameters significantly affects the responses.</p>
</li>
</ul>
</div>
</div>
</div>
</body>
</html>