Forthcoming articles

 


International Journal of Materials and Product Technology

 

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International Journal of Materials and Product Technology (18 papers in press)

 

Regular Issues

 

  • Optimization of friction stir processing parameters to fabricate AA6063/SiC surface composites using Taguchi technique   Order a copy of this article
    by Manu Srivastava, Sandeep Rathee, Sachin Maheshwari 
    Abstract: Fabrication of metal matrix surface composites is an emerging trend of friction stir processing (FSP) applications. This research proposes production of AA 6063/SiC surface composites (SCs) using FSP. Influences of FSP process parameters viz. tool rotational speed, traverse speed and tilt angle were investigated on the distribution of reinforcement particles and mechanical properties of SCs. Experiments were designed using Taguchi technique. Optimum combinations of process parameters were determined for higher microhardness and ultimate tensile strength respectively using signal/noise ratio graph responses and analysis of variance method. Results revealed that the uniform dispersion of reinforcement particles and appreciable improvement in mechanical properties was achieved by employing optimal combinations of 1400 rpm tool rotational speed, 40 mm/min traverse speed and 2.5˚ tilt angle. About 46% enhancement in microhardness was achieved with optimal parameters as compared to base metal. Conclusions of this research clearly correlate microstructural observations with mechanical properties and reinforcement distribution.
    Keywords: friction stir processing; aluminium metal matrix composites; microstructure; mechanical properties; material performance.

  • Deformation and Fracture Characteristics of Complex Al-Si Alloy during High Speed Forging under Different Processing Conditions   Order a copy of this article
    by Khemraj Sahu, A.K. Jha, S.N. Ojha 
    Abstract: The feasibility of bulk processing of complex Al-Si alloy (Al-18Si-2.5Cu-0.6Fe) has been demonstrated in the present work. Open and closed die forging experiments have been performed using solid cylindrical billets under different conditions of working temperatures, aspect ratios and interfacial friction between top-bottom dies and test samples. The results so obtained, have been critically analyzed and discussed to explain the deformation and fracture behavior of the above Al-Si alloy. Results reveal that due to the presence of hard silicon and intermetallic particles in the alloy, the open die forging of the test sample generates severe surface cracks during deformation under cold and hot processing conditions. However, the high speed closed die forging of above complex Al-Si alloy at elevated temperatures show encouraging results. The forged component so produced is free from surface cracks and possess improved engineering properties.
    Keywords: Al-Si alloy; open die forging; closed die forging; elevated working temperature; aspect ratio; surface cracks; strain hardening; primary silicon particles; intermetallic particles; deformation.

  • Experimental Evaluation of Magnetic Abrasive Finishing Process with Diamond Abrasive   Order a copy of this article
    by Vinod Rohilla, Rajesh Sharma, Krishnakant Dhakar, Yogesh Kumar Singla, Kunal Verma 
    Abstract: Magnetic Abrasive Finishing (MAF) is one of the advanced finishing processes, in which, the work-piece is kept between two magnets and cutting force is controlled by the working gap and magnetic field. In this investigation, cylindrical surfaces of stainless steel were processed using MAF process to examine the Percentage Improvement in Surface Finish (PISF) and Material Removal Rate (MRR). In order to complete the objective, four input process parameters (current, quantity of Magnetic Abrasives (MA), rotational speed, and percentage of diamond abrasives) were varied at different levels. Response surface methodology was adopted to investigate the significance of selected parameters. Further, mathematical models were proposed for response characteristics. Results exhibited that all the input parameters are significant for both the responses. The quantity of magnetic abrasives was found to have a major effect on PISF in comparison to the rotational speed. The minimum surface roughness value of Ra 17.7 nm was obtained.
    Keywords: Magnetic Abrasive Finishing; Response Surface Methodology; Percentage Improvement in Surface Finish; Diamond Abrasives; Material Removal Rate.

Special Issue on: Advances in Measurement Science and Technology

  • Non-contact roundness measurement with air gauges: simulation studies   Order a copy of this article
    by Radomir Majchrowski 
    Abstract: The article presents the results of simulation-based analysis of non-contact roundness measurement of inner cylindrical surfaces. The method is based on the reference measurement with air gauges. The simulation tests were conducted to evaluate the influence of certain parameters on the final measurement results, including the harmonic analysis (up to 15th harmonics). The investigations were aimed to the assessment of influence of particular measurement errors, like the error of the measuring slot, or the non-orthodox position of the measuring head, on the final result of the roundness measurement. These studies results are useful not only in this particular application, but generally in process of design of the non-contact roundness measurement instrument that using air gauges.
    Keywords: air gauge; roundness; simulation studies; matlab.

  • Investigations of Performance Parameters in NFMQL Assisted Turning of Titanium Alloy Using TOPSIS and Particle Swarm Optimization Method   Order a copy of this article
    by Munish Gupta, P.K. Sood, Gurraj Singh, Vishal S. Sharma 
    Abstract: This paper deals with the multi-response optimization of process parameters in nano-fluid based minimum quantity lubrication (NFMQL) assisted turning of titanium (grade-2) alloy. The multi-response optimization methods included are multi-criteria decision making tool i.e., TOPSIS (Technique for Order Preference by Similarity to Ideal Solution) approach and particle swarm optimization (PSO) method. The turning experiments were performed by varying cutting speed (Vc, 200 mm/min 300 mm/min), feed rate (f, 0.10 mm/rev 0.20 mm/rev), approach angle (ϕ, 60
    Keywords: ANOVA; Machining; Optimization; PSO; Titanium alloy; TOPSIS.

  • AIR GAUGE BACK-PRESSURE UNCERTAINTY ESTIMATION FOR THE ADVANCED TEST RIG   Order a copy of this article
    by Czeslaw Jermak, Miroslaw Rucki, Michal Jakubowicz 
    Abstract: In the paper, the uncertainty estimation of the back-pressure measurement in the advanced experimental rig equipped with the electronic devices, pressure transducers, precise step motors is discussed. The proposed apparatus was used in case of some accurate and dedicated applications that required experimental examination of the selected air gauges to confirm their capability. The advanced experimental rig for the air gauges properties assessment is a system consisting of many elements, each of them adding some uncertainty to the final measurement result. The main sources of uncertainty are identified as following: operator, environment, mechanical unit, electronic unit, pneumatic unit, data processing. Assessment of the back-pressure uncertainty was performed using the method A. The series of repetitions revealed that the uncertainty of the back-pressure indication depends on characteristics (measuring range and sensitivity) of the actually examined air gauge. Additional attention was paid to the flow instability in the measuring chamber that cause the instability of the back-pressure measurement results
    Keywords: air gauge; uncertainty; back-pressure; air flow; calibration.

  • Barkhausen noise signal analysis of heat treated samples at various magnetizing frequencies   Order a copy of this article
    by Ashish Srivastava, Harikishor Kumar, Mohd.Zaheer Khan Yusufzai, Meghanshu Vashista 
    Abstract: Signal processing of magnetic Barkhausen noise was performed to reveal the useful information content of the signal which would otherwise difficult due to stochastic nature of the signal. Magnetic Barkhausen noise signal was measured from different heat treated steel samples which were further processed to investigate the effect of heat treatment on Barkhausen noise signal. The dependence of Barkhausen signal upon magnetizing frequency was also discussed in terms of rms value of Barkhausen noise envelope. Variation in the rms value of the Barkahusen noise profile with magnetizing frequency and mechanical properties was explained using micromagnetic theory. The present study shows that Magnetic Barkhausen noise signal depends upon mechanical properties as well as on magnetizing frequency which needs to be optimized in order to use magnetic Barkhausen noise as a characterization tool.
    Keywords: Magnetic Barkhausen noise; Heat treatment; Domain wall; Magnetising frequency; Root mean square; Eddy current; Signal processing; Microhardness; Magnetization;Characterization.

Special Issue on: Recent Trends in Design of Nanocomposites Experimental and Theoretical Approaches

  • A Predictive Modeling of Nanocomposite Coating Microhardness Based on Extremely Randomized Trees   Order a copy of this article
    by Hai Guo, Zhao Jingying, Li Xiaoniu 
    Abstract: Nanocomposite coating is a coating made of particles whose sizes are of nanoscale. The coating has superior performances. The microhardness of the coating is an importance parameter. Currently, experimental method is mainly adopted in the coating's microhardness and performance research, with high research cost and long time period. In this paper, the content of the nano-particles in the plating liquid, current density, duty ratio, addition of additives and ultrasonic power are set as inputs; the micro hardness of the nanocomposite coating is set as output. Extremely randomized trees (ERT) is used to establish a strong prediction model. The research results show that the correlation coefficient of the ERT model is 0.9447, which mean absolute error is 0.0007 and that the root mean squared error is 0.0013. The error between the predictive value and experimental value is small. The prediction performance is the ERT model is superior to that of the single models such as linear regression, Back-Propagation neural network, Radial basis function neural network, support vector regression and Multi-Layer Perceptron etc. and other ensemble learning methods such as random forest, bagging-decision stump and stochastic gradient boosting etc. ERT model can be used for predicting the microhardness of nanocomposite coating, providing an efficient and highly reliable method for new material performance prediction.
    Keywords: Nanocomposite coatings; prediction model; extremely randomized trees; ensemble learning.

  • Influence of solutionizing temperature and time on spherodization of the silicon particles of AMNCs   Order a copy of this article
    by Mohsen Ostadshabani, Fatemeh Heydari 
    Abstract: Perhaps it could be said that among the casting alloys of aluminum, Al-Si-Mg alloys have the highest consumption rate in different industries. Because these alloys have good castabilities and perfect mechanical properties in heat treated conditions, good wear resistance, good weldability, and low thermal expansion. In this research the effect of temperature and time of heat treatment on spherodization of silicon particles was thoroughly investigated in casting samples in semi-solid state of Aluminum matrix nano composites, and it was found that heat treatment leads to fracture and spherodization of silicon particles and by increasing solutionizing time these siliconparticles cling to each other and grow. It was determined that 540 degree centigrade is a suitable temperature for solutionizing in 4 hours.
    Keywords: Heat treatment; Nano; A356; Silicon; Composite.

  • Analysis for electromagnetic performance of PM motor with different metal Nano-material bars   Order a copy of this article
    by Likun Wang 
    Abstract: With the appearance of high-performance permanent magnet (PM) materials as well as the development of computer technology and Nanotechnology and electricity machine theory, scholars have done a lot of research on the self-starting permanent magnet synchronous motor and have made many achievements. Although the starting permanent magnet synchronous motor has many advantages compared with the induction motor, there are also many problems. Since the self-starting motor needs to realize the self-starting and maintaining the synchronous speed operation, its rotor structure design is more complex. The rotor requires the starting winding and the magnets coexist, so there is "space competition", especially the small motors with high power density. Nowadays, Nano-materials are applied on a motor to improve its electromagnetic performance. In this paper, the electromagnetic performance of a PM motor with different metal Nano-material bars is researched by finite element analysis (FEA). In this paper, the electromagnetic performance of a PM motor is researched when the rotor bars are with different sizes metal Nano-palladium by FEA. The magnetic field distribution, the dynamic speed and torque variation, and the eddy current losses are analyzed respectively.
    Keywords: permanent magnet materials; Nano-material; performance; synchronous motor.

Special Issue on: 3D Printing and Additive Manufacturing

  • Using additive manufacturing applications for design and development of food and agricultural equipments   Order a copy of this article
    by Mohd Javaid, Abid Haleem 
    Abstract: Additive Manufacturing (AM) has an important role in the future of the globalised world as it provides different technologies to manufacture parts with different types of materials. Food and agriculture sector need extensive customisation to design and develop their equipment depending upon the varied requirement. Thus, through this paper, we are proposing extensive usage of additive manufacturing in these sectors. AM is an effective approach for designing/production of food such as customised pizza, cake, burger and other food items as per the customer requirement. It is efficient due to its reuse of raw material and saves energy as compared to conventional recycling. Chocolate, cakes and shakes are produced as per required shape and colour. AM can also drive major innovation in the agricultural sector. It has great capabilities to produce physical models of agricultural equipment and making its way directly onto the farms. This technology can easily print functional prototypes and can further be tested for obtaining design flaws or any other specific agricultural requirements before the product is produced in a factory. The new design/redesign of agricultural equipment meets the unique demand of the special consumer. These customised products are appropriately designed and manufactured through this new rising technology. This technology will bring the agricultural industry to that point where the farmer will purchase agricultural equipment according to the choice of design, shape and size. Before starting full production of agriculture equipment, we can easily make a physical prototype.
    Keywords: Additive Manufacturing (AM); 3D Printing; Rapid Prototyping; Food printing: Agriculture equipments; Design; Product customisation.

  • Investigation of Professional Design Practice: a Framework for Designing Plastic Consumer Products for Additive Manufacturing   Order a copy of this article
    by Wei Liu, Zicheng Zhu, Songhe Ye, Xiaoneng Jin, Guanghe Yan 
    Abstract: Revolutionary advances in plastic additive manufacturing (AM) have enabled it to evolve to be an economic viable production method for manufacturing consumer products in our daily lives. The capability of creating complex structures opens up vast design freedoms, which consequently requires new design mind-sets and methods to be developed to take advantage of this emerging technology whilst minimising inherent process drawbacks. This study investigates professional design practice in design for plastic AM. A framework that shows an effective way to design products is developed, enabling efficient low to medium volume production using plastic AM processes. The major factors and design considerations including AM process characteristics, materials, product appearance, functionality and production economic viability that affect the design of a consumer product are described. A case study of a night lamp manufactured by selective laser sintering is conducted, demonstrating that plastic AM is a feasible and reliable production route for consumer goods.
    Keywords: Design for additive manufacturing; 3D printing; Plastic consumer goods; Design method; Design process.

  • Evaluation of additive manufacturing technologies for dimensional and geometric accuracy   Order a copy of this article
    by Abdulrahman Al-Ahmari, Mohammed Ashfaq, Syed Hammad Mian, Wadea Ameen 
    Abstract: The need for product customization and shorten design cycle have led to the evolution of Additive Manufacturing (AM). It refers to a process where components are built up through the deposition of material in layer by layer manner. It allows fabrication of complex 3D parts with greater flexibility and freedom. In spite of the numerous benefits offered by AM processes, their primary applications are limited to prototyping. A number of unresolved issues can be cited, which have curtailed their implementation. Among the serious problems faced by AM technologies are poor dimension and geometric accuracy as well as low surface finish. Henceforth, further expansion and better performance entail an increased understanding of AM systems. A wide range of AM technologies, with variations in accuracy and surface finish is available in the market. Most often, the dimension and geometric accuracy of AM machines do not persistently conform the assertions of the manufacturer, and thereby desired accuracy of parts is often difficult to attain. The goal of this work is to evaluate three different AM processes. The three most popular AM processes such as fused deposition modeling (solid-based), stereolithography (liquid-based) and electron beam melting (powder-based) are evaluated for dimension and geometrical accuracy. This study has been undertaken to provide engineers and designers with useful information about the expected accuracy that can be achieved from different AM systems. The results of this work can be used to identify possible process improvements in the design and control of AM technologies.
    Keywords: Additve Manufacturing (AM); 3D Printing; Fused Deposition Modeling (FDM); Stereolithography (SLA); Electron Beam Melting (EBM); Benchmarking; Accuracy.

  • Investigation of parameters influencing mechanical properties in SIS by using RSM   Order a copy of this article
    by SAGAR BALIGIDAD, Chandrashekhar U, Elangovan K, Shankhar S 
    Abstract: Selective Inhibition Sintering (SIS), one among the emerging Layered Manufacturing technology, wherein parts can fabricate directly with the source from CAD template. The key challenge of this process is to select optimal control parameters to fabricate parts with desired dimensions to meet industry requirements. This study considers heater power, layer thickness, heater feed rate, roller feed rate, and bed temperature are as candidate factors to optimize by using the face-centered composite method of response surface methodology. Response Surface Methodology (RSM) was employed to plan the experiments with five factors-three levels and face-centered central technique is followed to plan the design. Analysis of variance (ANOVA) technique was used to verify the adequacy of the developed models. The experiments are performed on polyamide (PA12) material through by a novel selective inhibition sintering process. Experimental results revealed that mechanical properties of fabricated parts increased with the decrease in heater power, layer thickness and with the increase in heater feed rate, roller feed rate. The microstructural evaluation was also performed to justify the surface morphology. Sensitivity analysis is carried out to measure the impact of process parameters on mechanical properties. The results of these studies are validated and optimal working parameters were determined to fabricate the parts with the greatest strength.
    Keywords: Selective inhibition sintering; Optimization; ANOVA; Response Surface Methodology; Sensitivity.

  • Selection of 3D printer based on FAHP integrated with GRATOPSIS   Order a copy of this article
    by Raghavendra Prabhu Sundarraj, Ilangkumaran Mani 
    Abstract: The purpose of this paper is to evaluate and select the suitable three Dimensional (3D) printers for Centre of excellence of academic institution. The selection involves various conflicting criteria such as Build volume, Speed, Layer thickness, Extruder, Machine cost and Support material cost. In order to overcome this conflicting nature of the evaluation criteria, Hybrid Multi Criteria Decision Making (MCDM) model is proposed. Fuzzy Analytical Hierarchy Process (FAHP) is integrated with Grey Relational Analysis (GRA) and Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) is proposed as a model to evaluate the suitable 3D Printer. FAHP is used to define the weights of criteria and GRA-TOPSIS is used to attain the final ranking of 3D printers. In this study ten 3D printer models and six evaluation criteria are considered for the evaluation process.
    Keywords: 3D printer; MCDM; FAHP; TOPSIS; GRA-TOPSIS.

Special Issue on: A Synergistic Approach in IR4.0 for Product Technology Development

  • Characterization of microstructure, mechanical properties and fracture mode of the dissimilar joining of AISI 304 stainless steel and DP780 dual phase steel by resistance spot welding   Order a copy of this article
    by Masoud Sabzi, Sadegh Moeini Far ‎, Saeid Mersagh Dezfuli 
    Abstract: Microstructure, ‎mechanical ‎properties ‎and fracture mode‎ were investigated for the dissimilar joining of AISI 304 steel and DP780 steel by resistance spot welding. First resistance spot welding was utilized with a current density of 8kA, holding time after welding of 10 cycles, and 5kN electrode force. Then, to evaluate the microstructure, hardness profile and tensile-shear strength of weld nugget, scanning electron microscopy (SEM), Vickers micro-hardness and tensile-shear tests were carried out, respectively. Microstructural evaluations showed that in the dissimilar joining of DP780 - AISI 304 stainless steel, fusion zone (FZ) microstructure was martensitic and some grains were also coarsened in heat affected zone (HAZ). Moreover, HAZ in AISI 304 stainless steel side remained completely austenitic, while HAZ in DP780 dual phase steel transformed to martensite. Micro-hardness results showed that in the dissimilar joint of DP780 - AISI 304 stainless steel, FZ hardness was higher than base metals (BM) of both sheets of steel. Additionally, HAZ in DP780 dual phase steel side had higher hardening ability than other joint areas. Results of tensile shear tests of the dissimilar joint of DP780 - AISI 304 stainless steel, indicated that the joint had the tensile shear strength of 15 kN along with the occurrence of severe plastic deformation.
    Keywords: Resistance spot welding; DP780 dual phase steel; AISI 304 stainless steel; Microstructure; Hardness profile; ‎Tensile – shear strength‎.

  • Effect of Ball Milling Time on the Properties of Nickel Oxide-Samarium-Doped Cerium Composite Anodes for Solid Oxide Fuel Cells   Order a copy of this article
    by N.O.R. FATINA RADUWAN, Muhammed Ali S.A., Mustafa Anwar, Andanastuti Muchtar, Mahendra Rao Somalu 
    Abstract: The powder characteristics of composites under different processing conditions, such as milling time, must be elucidated before fabricating electrodes with porous structures for fuel cell applications. Milling time is an important parameter in producing pure composite powders with fine crystallite size and affects the densification of the sintered pellet and the electrical performance of the cell. X-ray diffraction (XRD) and transmission electron microscopy (TEM) analyses were conducted to characterize nickel-oxidesamarium-doped cerium (NiO-SDC) powders milled for different durations (2, 12, and 24 h). Field-emission scanning electron microscopy (FESEM) analysis was performed to clarify the porosity of the sintered pellets. Density was determined using Archimedes method and was found to decrease after the reduction of the anode pellets. The XRD analysis of the composite anodes showed good chemical compatibility between the NiO and SDC. The TEM analysis of the as-prepared powders indicated that the particle size of the powder was within the nanometer range. This finding was confirmed by the FESEM micrograph of the sintered pellets. The porosity of the sintered pellets (before and after reduction) ranged from 20% to 40% and was considered sufficient for anode materials in solid oxide fuel cells (SOFC).
    Keywords: ball milling time; NiO-SDC; composite anode; particle size; porosity; density; solid oxide fuel cell.

  • A systemic study on hydroforming process of exhaust pipe FE simulation and experiment   Order a copy of this article
    by Kuanxin Liu, Ning Guo, Shunqi Zheng, Kemin Xue 
    Abstract: Hydroforming process of tube parts is widely used in many industries due to the virtues of weight reduction and high strength and stiffness. The exhaust pipe hydroforming process is investigated systemically combined FE simulation with experiments. The FE simulation model for hydroforming process is established after solving several key technologies based on the ABAQUS software, and the validation is carried out compared with experiments. And then, the effects of process parameters on forming quality are studied by using the FE simulation model. The optional process parameters are obtained based on the simulation model and orthogonal experimental analysis. Finally, three typical loading paths are proposed and tested, and the guidance for loading path is given. Based on these developments, the exhaust pipes are manufactured by hydroforming in a short period and low cost.
    Keywords: hydroforming process; exhaust pipe; optional process parameter; orthogonal experimental analysis.