Today’s agriculture demands increased productivity due to the higher cropping intensities. Agricultural field readiness for cultivation requires various operation in field resulting in delay in cultivation which lower down productivity. Therefore, field operation needs to be more efficient in terms of both input cost and time consumption. One way to achieve this is by performing multiple operations in a single tractor pass, utilizing the increased power available in modern Tractors. In some agricultural operations, implements need to be mounted on the front of the tractor. Therefore, designing a front three-point hitching system for the tractor is essential to meet various farming needs, allowing customers to perform multiple operations simultaneously. The use of a front three-point linkage better utilizes the potential of four-wheel drive, higher horsepower tractors. This paper focuses on the comprehensive design process for developing and validating a front hitch system for both

Kumar, Yuvaraj, V, Ashok Kumar, Perumal, Solairaj, Gaba, Rahul, Ramdebhai, Karavadara, Subbaiyan, Prasanna Balaji, M, Kalaiselvan

Optimization of Biodiesel Production from Tannery Industry Fleshing Wastes Using Response Surface Methodology

2025-28-0115

02/07/2025

In response to rising emissions and pollutants, an alternative and environmentally friendly synthesis is gaining prominence on the energy sources. The leather industries generate substantial amount of waste and fleshing oil extracted from fleshing which is rich in lipids and presents a viable feedstock for biodiesel production. In this research work, Response Surface Methodology (RSM) is used to optimize the conversion of leather fleshing oil into biodiesel using three parameters such as operating temperature, reaction time, and molar ratio. Experiments were carried out to determine the most optimal conditions and the response on yield (%) and viscosity (mm2/s) based on a 17-run Box–Behnken Design matrix. Stochastic model parameters such as R2 (0.9715 and 0.9793), adjusted R2 (0.9349 and 0.9527), predicted R2 (0.8327 and 0.7656), and high F-values (26.52 and 36.78) of both responses (yield and viscosity) were found to be statistically significant and warranted model adequacy. ANOVA and

P, Kanthasamy, Selvan, Arul Mozhi, P, Shanmugam

A Machine Learning Approach for the Prediction of Surface Roughness Using the Tool Vibration Data in Turning Operation

2025-28-0152

02/07/2025

Surface roughness is a key factor in different machining processes and plays an important role in ergonomics, assembly process, wear and fatigue life of components. Other factors like functionality, performance and durability of parts are also affected by surface roughness. Although maintaining an optimum surface roughness is a major challenge in many manufacturing industries. Surface roughness during machining depends upon machining parameters such as tool geometry, feed rate, depth of cut, rotational speed, lubrication, tool wear, etc. Tool vibrations during machining also have significant influence in surface roughness. In this work an attempt is made to predict the surface roughness of machined components made by the turning process by using machine learning of tool vibration signals. By varying different machining parameters and keeping other tooling and material properties same, a range of surface roughness values can be obtained. For each condition, corresponding tool vibration

S S, Safeer, Sadique, Anwar, D, Navaneeth

Optimization and Regression Modeling of Additive Manufacturing (Fused Deposition Modeling) of PETG Material for Automobile Applications

2025-28-0146

02/07/2025

In recent years, Additive Manufacturing (AM), more especially Fused Deposition Modeling (FDM), has emerged as a very promising technique for the production of complicated forms while using a variety of materials. Polyethylene Terephthalate Glycol, sometimes known as PETG, is a thermoplastic material that is widely used and is renowned for its remarkable strength, resilience to chemicals, and ease of processing. Through the use of Taguchi Grey Relational Analysis (GRA), the purpose of this investigation is to improve the process parameters of the FDM technology for PETG material. In order to investigate the influence that several FDM process parameters, such as layer thickness, infill density, printing speed, and nozzle temperature, have on significant outcome variables, such as dimensional accuracy, surface quality, and mechanical qualities, an empirical research was conducted. For the purpose of constructing the regression prediction model, the obtained dataset is used to make

Natarajan, Manikandan, Pasupuleti, Thejasree, Shanmugam, Loganayagan, Katta, Lakshmi Narasimhamu, Silambarasan, R, Kiruthika, Jothi

Optimization of Fusion Deposition Modeling Parameters for PLA Material for Automobile Interior Using Taguchi Based TOPSIS Approach

2025-28-0131

02/07/2025

Additive Manufacturing (AM), specifically Fused Deposition Modeling (FDM), has transformed the manufacturing industry by allowing the creation of intricate shapes using different materials. Polylactic Acid (PLA) is a biodegradable thermoplastic that is commonly used in additive manufacturing (AM) because of its environmentally friendly nature, affordability, and ease of processing. This study aims to optimize the parameters of Fused Deposition Modeling (FDM) for PLA material using the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) approach. The researchers performed experimental trials to examine the impact of important FDM parameters, such as layer thickness, infill density, printing speed, and nozzle temperature, on critical outcomes, including dimensional accuracy, surface finish, and mechanical properties. The methodology of design of experiments (DOE) enabled a systematic exploration of parameters. The TOPSIS approach, a technique for making decisions

Natarajan, Manikandan, Pasupuleti, Thejasree, D, Palanisamy, Katta, Lakshmi Narasimhamu, Silambarasan, R

Optimizing Titanium Alloy Grade 7 Machining with Grey Relational Analysis

2025-28-0049

02/07/2025

Electrochemical machining (ECM) is a highly efficient method for creating intricate structures in materials that conduct electricity, irrespective of their level of hardness. Due to the growing need for superior products and the requirement for quick design adjustments, decision-making in production has become more complex. This study focuses on Titanium Grade 7 and suggests creating predictive models utilizing a Taguchi-grey technique to achieve multi-objective optimization in ECM. The trials are structured based on Taguchi's principles, utilizing Taguchi-grey relational analysis (GRA) to simultaneously maximize several performance indicators. This entails optimizing the pace at which material is removed, decreasing the roughness of the surface, and attaining precise geometric tolerances. ANOVA is used to assess the relevance of process variables that affect these measures. The suggested predictive technique for Titanium Grade 7 outperforms current models in terms of flexibility

Pasupuleti, Thejasree, Natarajan, Manikandan, Kumar, V, Sagaya Raj, Gnana, Krishnamachary, PC, Silambarasan, R

Grey Relational Analysis for Multi-Objective Optimization in Aerospace Machining of Titanium Grade 19

2025-28-0047

02/07/2025

Electrochemical machining (ECM) is a highly efficient method for creating intricate structures in electrically conductive materials, irrespective of their hardness. Due to the growing need for superior products and quick design adjustments, decision-making in production has become increasingly complex. This study focuses on Titanium Grade 19 and proposes creating predictive models using a Taguchi-grey technique to achieve multi-objective optimization in ECM. The experiments are structured based on Taguchi's principles, utilizing Taguchi-grey relational analysis (GRA) to simultaneously optimize several performance indicators, including the material removal rate, surface roughness, and geometric tolerances. ANOVA is employed to assess the significance of process variables affecting these measures. The proposed predictive technique for Titanium Grade 19 outperforms current models in terms of flexibility, efficiency, and accuracy, providing enhanced capabilities for monitoring and control

Pasupuleti, Thejasree, Natarajan, Manikandan, Krishnamachary, PC, Katta, Lakshmi Narasimhamu, Silambarasan, R

Innovative Automation Solutions for Agricultural Tractors: Boosting Efficiency and Reducing Fatigue

2025-28-0192

02/07/2025

On one hand population is increasing while on the other area under cultivation has been decreasing resulting in increased stress on the productivity to meet the needs. India in particular has been witnessing lot many challenges in terms of mechanization, availability of skilled manpower, urban shift and increased revenue to Agri households from non-Agri streams, lesser participation of women in mechanization. Likeability of younger generations to choose agriculture has declined due to need of strenuous manual works. This paper discusses about the system developed for automating monotonous agricultural tractor operations that offers increased operator comfort and productivity while minimizing operator fatigue. The system uses Electronic Depth & Draft Control (EDDC) system combined with Wheel angle sensors to offer key functions such as auto side braking, implement lift, lower and PTO disengagement during headland turns and automatic reengagement of the above controls. Field tests have

M, Rojer Denny, Natarajan, Saravanan, Baskar, Augustin

Research on Hydrogen Production Process by Photothermal-Driven Sludge-Coal Thermochemical Synergistic Conversion

2025-01-7061

01/31/2025

In recent years, the amount of industrial sewage sludge awaiting treatment has continued to rise steadily, posing serious risks to human health and the ecological environment if mishandled. This study proposes a photothermal-driven supercritical water co-gasification of sludge-coal thermochemical synergistic conversion system for efficient hydrogen production. The main feature is that the medium-low temperature exothermic heating method uses concentrated solar energy to provide reaction heat for the co-gasification process. This approach synergistically converts solar energy into syngas chemical energy while meeting the heat demand of the co-gasification hydrogen production process. The results show that this co-gasification system for hydrogen production can achieve an energy efficiency of 56.82%. The sensitivity analysis shows that the molar flow rate of hydrogen increased from 44.02 kmol/h to 217.51 kmol/h as the gasification temperature increased from 500°C to 700°C. The concluded

Li, Guangyang, Xue, Xiaodong, Wang, Yulin

Review on the Test Method of Water Electrolysis Hydrogen Production System

2025-01-7095

01/31/2025

The development of hydrogen economy is an effective way to achieve peak carbon emission and carbon neutralization. Therein, the green production of hydrogen is a prerequisite to reach the goal of decarbonization. As an ideal route, water electrolysis has triggered intense responses under the strong support from policies, which further presenting a phenomenon of water electrolysis equipment manufactures competing to enter the market. However, the extensive growth mode is not conducive to a long term healthy development of the water electrolysis hydrogen production market where products can be sold without requiring compulsory inspection or quality inspection process due to the absence of laws and test & evaluation standards. Considering the market status and technology maturity, the main working principles and characteristics of alkaline water electrolysis (AWE) and proton exchange membrane (PEM) hydrogen production systems are summarized, and the test frameworks of the AWE and PEM

Jiao, Daokuan, Wang, Xiaobing, Hao, Dong

Transforming Hydrogen Supply at Hydrogen Refueling Stations: Design and Analysis of LOHC for Auxiliary Hydrogen Supply

2025-01-7101

01/31/2025

In order to give full play to the economic and environmental advantages of liquid organic hydrogen carrier(LOHC) technology in hydrogen storage and transportation as well as its technological advantages as a hydrogen source for hydrogen refueling station(HRS) supply, it promotes the change of hydrogen supply method in HRSs and facilitates its technological landing in the terminal of HRSs. In this paper, combining the current commercialization status of organic liquid technology and the current construction status of HRS in China, we establish a traditional long-tube trailer HRS model through Matlab Simulink, carry out modification on the existing process, maximize the use of the original equipment, and introduce the hydrogen production end of the station with organic liquid as an auxiliary hydrogen source. Research and design of the two hydrogen sources of gas extraction strategy and the station control strategy and the formation of Stateflow language model, to realize the verification

Huo, Tianqing, Feng, Tianyu, Yang, Fusheng, Huang, Ye, Zheng, Huaan, Wang, Bin, Fang, Tao, Wu, Zhen, Zhang, ZaoXiao

Weighting-Factorless PTC Strategy Based on Voltage Vector Angle

2025-01-7058

01/31/2025

The predictive torque control strategy is a very commonly used model predictive control strategy. At present, the research prospects of PTC in motor control are broad, but there are still certain limitations in the industrial application of PTC. In traditional prediction torque control, due to the inconsistent units of electromagnetic torque and stator magnetic flux, weight factors need to be introduced to balance the control effects of the two. However, due to the cumbersome and time-consuming process of determining weight factors, it is not conducive to industrial promotion. In order to solve the problem of weight factors, this paper studies a new torque prediction control strategy based on stator flux vector angle that can avoid weight factors on the basis of traditional torque prediction control. The overall process of the new strategy is to first derive the relationship between the angle between the stator voltage vector and the stator magnetic flux vector and the electromagnetic

Zhang, Dongdong, Huang, Yasong, Du, Annan, Lin, Xiaogang

Research on the Optimization of Metal Bipolar Plate Welding Process Based on Box-Behnken Design-Response Surface Method

2025-01-7081

01/31/2025

Metal bipolar plates are important components of fuel cells, playing a role in conducting electricity, gas, and heat during the operation of fuel cells. The sealing and joint quality of the bipolar plates have a significant impact on the performance and service life of fuel cell stacks. In actual production, laser technology is often used for welding bipolar plates, and the welding quality is ensured by laser process parameters when using the same equipment. Therefore, in order to further optimize the laser welding process of metal bipolar plates, this paper selects three laser parameters for single-factor analysis to evaluate the impact of each parameter on laser welding quality. The Box-Behnken design-response surface method is used for multi-factor analysis, with process parameters as inputs and weld quality parameters as outputs, to assess the sensitivity of each laser process parameter to laser welding quality, and to fit a nonlinear function. Based on the results, the optimal

Li, Wei, Chang, Guofeng, Xu, Huasheng, Huang, Ziheng

Superfinishing of HVOF Applied Tungsten Carbide Coatings

AMS2452 (Current)

01/09/2025

This specification covers requirements for the superfinishing of High Velocity Oxygen/Fuel (HVOF) applied tungsten carbide thermal spray coatings.

AMS B Finishes Processes and Fluids Committee

Analysis of Biodiesel Production Worldwide: The Solutions and Consequences Related to Its Addition to Diesel

2024-36-0101

12/20/2024

The goal of this research is to better understand the methodologies for manufacturing biodiesel worldwide and the main raw materials used in its production. We aim to compare the solutions established by relevant countries with those used in Brazil, identifying their advantages and disadvantages. Our primary areas of interest include the United States, Indonesia, and Europe, where we will analyze the solutions and, whenever possible, understand the commercial and political interests involved. We will highlight aspects related to sustainability in the production, transportation, and use of biodiesel. The methodology is based on research from recent publications and news, organized into graphs to facilitate analysis and comparison. Next, we will also examine the consequences of the solutions adopted in Brazil, envisioning future scenarios and recommended paths. In the short term, biodiesel is expected to be replaced by renewable diesel (also known as green diesel in some regions

Labigalini, Marcio Roberto, Barreto, Gilmar

Integrating Agenda 2030 with Lean practices and Industry 4.0 Technologies: Case Study in an Automotive Industry

2024-36-0043

12/20/2024

Competitive companies constantly seek continuous increases in productivity, quality and services level. Lean Thinking (LT) is an efficient management model recognized in organizations and academia, with an effective management approach, well consolidated theoretically and empirically proven Within Industry 4.0 (I4.0) development concept, manufacturers are confident in the advantages of new technologies and system integration. The combination of Lean and I4.0 practices emerges from the existence of a positive interaction for the evolutionary step to achieve a higher operational performance level (exploitation of finances, workload, materials, machines/devices). In this scenario where Lean Thinking is an excellent starting point to implement such changes with a method and focus on results; that I4.0 offers powerful technologies to increase productivity and flexibility in production processes; but people need to be more considered in processes, in a context aligned with the Industry 5.0

Braggio, Luis, Marinho, Osmar, Soares, Luis, Lino, Alan, Rabelo, Fábio, Muniz, Jorge

Ground Height and Pitch Angle Influence on the Aerodynamic Behavior of a Production Pickup Truck

2024-36-0011

12/20/2024

The fuel economy performance of road vehicles is one of the most important factors for a successful project in the current automotive industry due to greenhouse effect gases reduction goals. Aerodynamics and vehicle dynamics play key roles on leading the automaker fulfill those factors. The drag coefficient and frontal area of the vehicle are affected by several conditions, where the ground height and pitch angle are very relevant, especially for pickup trucks. In this work, we present a combined study of suspension trim heights and aerodynamics performance of a production pickup truck, where three different loading conditions are considered. The three weight configurations are evaluated both in terms of ground height and pitch angle change considering the suspension and tires deflection and these changes are evaluated in terms of drag coefficient performance, using a Lattice-Boltzmann transient solver. Results are compared with the baseline vehicle at road speed condition, where both

Buscariolo, Filipe Fabian, Terra, Rafael Tedim

Challenges in Cost Reduction for Automotive Parts: A Comprehensive Analysis

2024-36-0174

12/20/2024

The automotive industry is facing unprecedented pressure to reduce costs without compromising on quality and performance, particularly in the design and manufacturing. This paper provides a technical review of the multifaceted challenges involved in achieving cost efficiency while maintaining financial viability, functional integrity, and market competitiveness. Financial viability stands as a primary obstacle in cost reduction projects. The demand for innovative products needs to be balanced with the need for affordable materials while maintaining structural integrity. Suppliers’ cost structures, raw material fluctuations, and production volumes must be considered on the way to obtain optimal costs. Functional aspects lead to another layer of complexity, once changes in design or materials should not compromise safety, durability, or performance. Rigorous testing and simulation tools are indispensable to validate changes in the manufacturing process. Marketing considerations are also

Oliveira Neto, Raimundo Arrais, Souza, Camila Gomes Peçanha, Brito, Luis Roberto Bonfim, Guimarães, Georges Louis Nogueira

Automatic Hose Cutting Machine for Small Scale Industries

2024-01-5217

12/10/2024

The goal of this work is to increase the accuracy and efficiency of hose cutting operations in small scale industries is by designing and building an automatic hose-cutting equipment. The device uses a computer-controlled system to autonomously cut pipes of various sizes and lengths. By means of a stepper motor-driven, rapidly spinning blade, the cutting process is accomplished. Additionally, the machine has sensors that measure the hose's length and modify the cutting position as necessary. Premium components and materials are used in the machine's construction; these are chosen for their performance and longevity. The device is able to boost cut precision and raise industry production all around from 100% to 190% efficient system thereby decreasing labor and time needed for hose cutting operations.

Feroz Ali, L., Manikandan, R., Madhankumar, S., Sri Hari, P., Suriya Prakash, T., Vishnu Doss, G.

Impact of Lean Manufacturing Strategies and Success Factors on Performance Improvement—A Case Study

05-18-02-0016

12/10/2024

LM (Lean manufacturing) is the manufacturing strategy focused on continuous improvement of manufacturing operations. This study has been carried out in manufacturing industry of northern India to assess important success factors, LM strategies applied, and important benefits of both LM strategies and approach. Questionnaire survey has been performed to achieve the desired objectives. Results indicated that manufacturing organizations have great affinity for LM strategies viz. small incremental improvements (kaizen) for strategic success. Production rates are highly improved after implementing LM approach. Mediating role of every success factor have been measured using regression analysis and structural equation modeling. Moreover, correlation shows the highly significant relations between LM strategies and benefits of the LM approach.

Kumar, Rajesh, Kumar, Ashwini, Kumar, Rajender

Optimization and Regression Modeling of Additive Manufacturing (Fused Deposition Modeling) of PETG Material for Automobile Applications

2024-28-0234

12/05/2024

Additive Manufacturing (AM), specifically Fused Deposition Modeling (FDM), has become a highly promising method for creating intricate shapes using different materials. Polyethylene Terephthalate Glycol (PETG) is a highly utilized thermoplastic that is recognized for its exceptional strength, resistance to chemicals, and effortless processing. This study aims to optimize the process parameters of the FDM technique for PETG material using Taguchi Grey Relational Analysis (GRA). An empirical study was carried out to examine the impact of various FDM process parameters, such as layer thickness, infill density, printing speed, and nozzle temperature, on important outcome variables like dimensional accuracy, surface quality, and mechanical properties. The Taguchi method was used to systematically design a series of experiments, while GRA was used to optimize the process parameters and performance characteristics. The results unveiled the most effective parameter combinations for attaining

Natarajan, Manikandan, Pasupuleti, Thejasree, Kiruthika, Jothi, D, Palanisamy, Silambarasan, R

Leveraging Welding Spot Quality Control Using Camera Vision System

2024-28-0264

12/05/2024

Spot welds are integral to automotive body construction, influencing vehicle performance and durability. Spot welding ensures structural integrity by creating strong bonds between metal sheets, crucial for maintaining vehicle safety and performance. It is highly compatible with automation, allowing for streamlined production processes and increased efficiency in automotive assembly lines. The number and distribution of spot welds directly impact the vehicle's ability to withstand various loads and stresses, including impacts, vibrations, and torsion. Manufacturers adhere to strict quality control standards to ensure the integrity of spot welds in automotive production. Monitoring spot weld count and weld quality during manufacturing processes through advanced inspection techniques such as Image processing by YOLOv8 helps identify the number of spots and quality that could compromise safety. Automating quality control processes is paramount, and machine vision offers a promising

Kadam, Shubham Narayan, Dolas, Aniket, Mishra, Jagdish

Application of TOPSIS Approach for Optimization on Additive Manufacturing (Fusion Deposition Modeling) of TPU Material: A Systematic Approach for Process Enhancement

2024-28-0232

12/05/2024

Additive Manufacturing (AM), specifically Fusion Deposition Modeling (FDM), has transformed the manufacturing industry by allowing the creation of complex structures using a wide range of materials. The objective of this study is to enhance the FDM process for Thermoplastic Polyurethane (TPU) material by utilizing the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) optimization method. The study examines the influence of FDM parameters, such as layer height, nozzle temperature, and infill density, on important characteristics of the printing process, such as tensile strength, flexibility, and surface finish. The collection of experimental data is achieved by conducting systematic FDM printing trials that cover a variety of parameter combinations. The TOPSIS optimization method is utilized to determine the optimal parameter settings by evaluating each parameter combination against the ideal and anti-ideal solutions. This method determines the optimal parameter

Pasupuleti, Thejasree, Natarajan, Manikandan, Kiruthika, Jothi, Ramesh Naik, Mude, Silambarasan, R

Optimization of Additive Manufacturing (Fused Deposition Modeling) of PLA Material Using TOPSIS Approach

2024-28-0233

12/05/2024

Natarajan, Manikandan, Pasupuleti, Thejasree, Kiruthika, Jothi, Katta, Lakshmi Narasimhamu, Silambarasan, R.

Cold Spray Additive Manufacturing (CSAM) Process

AMS7057 (Current)

12/05/2024

This specification establishes process controls for the repeatable implementation of the CSAM process for the manufacturing of metallic and metal-nonmetal blend components.

AMS AM Additive Manufacturing Metals

Efficient Robot Roller Hemming Process Using Turntable over Linear Setup

2024-28-0164

12/05/2024

Hemming is an incremental joining technique used in the automotive industry, it involves bending the flange of an outer panel over an inner panel to join two sheet metal panels. Different hemming methods are available such as Press die hemming, Table-top hemming and Robot roller hemming. Robot roller hemming is superior to press hemming and tabletop hemming because of its ability to hem complex-shaped parts and is typically used in low-volume automotive production lines. For higher production volumes, such as 120 Jobs per Hour (JPH), press hem or tabletop hem is generally preferred. However, to achieve high-volume production from roller hemming method multi station setup is used. This static multi station setup can be configured into a Turntable setup. This new method eliminates the robot load and unload time at each station in the existing setup, resulting in a 40% increase in hemming robot utilization. Therefore, this process reduces the number of robots and the required floor space

Raju, Gokul, Roy, Amlan, Sahu, Shishir, Palavelathan, Gowtham Raj, Jagadeesh, Nagireddi, Chava, Seshadri

Optimizing the Capacity of Dozer Blade with Hydraulic Foldable Wings to Enhance Productivity

2024-28-0268

12/05/2024

Crawler Dozers play a critical role in global construction, mining and industrial sectors, performing essential tasks like pushing the material, grading, leveling and scraping. In the highly competitive dozer market, meeting the growing demand for increased productivity requires strategies to enhance blade capacity and width. Dozer operations involve pushing the material and dozing, where blade capacity significantly influences performance. Factors such as mold board profile, blade height, and width impact the blade capacity which are crucial for productivity in light weight applications such as snow removal and dirt pushing. Blade width is also pivotal for grading and leveling tasks. Traditional blade designs, like straight or fixed U-type blades, constrain operator flexibility, limiting overall productivity. The integration of hydraulic-operated foldable wings on both sides of the blade offers the adaptability to adjust blade capacity which also helps to reduce material spillage

Sahoo, Jyoti Prakash, Sarma, Neelam Kumar

Optimization of Wire Electrical Discharge Machining Parameters for Cupronickel Material Using TOPSIS Method

2024-28-0245

12/05/2024

Wire Electrical Discharge Machining (WEDM) is a widely used manufacturing method that is employed to shape complex geometries in conductive materials such as cupronickel, which is highly regarded for its resistance to corrosion and ability to conduct heat. The aspiration of this investigation is to improve the effectiveness and accuracy of Wire Electrical Discharge Machining (WEDM) for cupronickel material by utilizing the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) optimization method. The study analyzes the impact of WEDM parameters, specifically pulse-on time, pulse-off time, and discharge current, on important machining outcomes such as surface roughness, material removal rate. Experimental trials are performed to collect data on these parameters and their corresponding machining characteristics. The TOPSIS optimization method is utilized to determine the most favourable parameter settings by evaluating each parameter combination against the ideal and

Pasupuleti, Thejasree, Natarajan, Manikandan, Kiruthika, Jothi, C, Navya, Silambarasan, R

Optimization of Wire Electrical Discharge Machining Parameters for SAE 1010 Material Using Taguchi-Based Grey Relational Approach

2024-28-0231

12/05/2024

Wire Electrical Discharge Machining (WEDM) has attracted considerable attention in contemporary manufacturing because of its capacity to accurately form conductive materials. This study aims to optimize the parameters of Wire Electrical Discharge Machining (WEDM) for SAE 1010 material, which is a commonly used low-carbon steel. The Taguchi-based Grey Relational Approach (GRA) is employed for this purpose. The goal is to optimize machining efficiency and quality while minimizing production costs. The research methodology combines the Taguchi method for experimental design with the GRA for multi-response optimization. The Taguchi L27 orthogonal array is utilized to carry out experiments, taking into account three controllable factors: pulse-on time, pulse-off time, and discharge current. In addition, the performance characteristics to be optimized include surface roughness (Ra) and material removal rate (MRR). The experimental results are analyzed using the GRA (Grey Relational Analysis

Natarajan, Manikandan, Pasupuleti, Thejasree, Kiruthika, Jothi, Krishnamachary, PC, Silambarasan, R

3D-Printed Reactor Core Makes Solar Fuel Production More Efficient

TBMG-52193

12/01/2024

In recent years, engineers at ETH Zurich have developed the technology to produce liquid fuels from sunlight and air. In 2019, they demonstrated the entire thermochemical process chain under real conditions for the first time, in the middle of Zurich, on the roof of ETH Machine Laboratory. These synthetic solar fuels are carbon neutral because they release only as much CO2 during their combustion as was drawn from the air for their production. Two ETH spin-offs, Climeworks and Synhelion, are further developing and commercializing the technologies.

Contract Manufacturing: Accelerating Product Development

TBMG-52172

12/01/2024

Design and material choices can have a long-term impact on an original equipment manufacturer’s (OEM) production costs and product quality. When an OEM works together with an experienced contract design manufacturer (CDM) from the start of a project, many negative impacts to cost and quality can be avoided.

Revolutionizing Seafood Production with Adaptive Robots

TBMG-52178

12/01/2024

Robotic automation technology is reshaping food manufacturing, packaging, and handling by driving significant improvements in efficiency, quality, and flexibility. By integrating advanced artificial intelligence, computer vision, and proprietary force-sensing technology, Flexiv has introduced cutting-edge automation to the food processing sector.

How a Standardized Platform Delivered Precision Motion Control

TBMG-52179

12/01/2024

When a physician injects a patient with medication from a glass vial, they want to know that the drug inside that vial is sterile and stable. That’s where Genesis Packaging Technologies comes in. Genesis Packaging Technologies, formally a division of the West Company, was founded in 1946. Today, Genesis is a one of the leaders in the science and technology of parenteral vial sealing and residual seal force testing.

Autonomous Air Defense Production

TBMG-52132

12/01/2024

Anduril Industries Orange County, CA Contact@anduril.com

Low-carbon Hydrogen Use Across Economic Sectors and Global Regions

EPR2024026

11/25/2024

There is great recognition regarding the importance of hydrogen as an energy route for the decarbonization of road vehicles. Several countries are making large investments to create products, services, and infrastructures that allow hydrogen to be used as a clean source for propulsion, but there are still many open questions. This complete hydrogen chain involves production, transformation, transport, storage, and use. Although many initiatives are seeking global production, the use of low-carbon hydrogen is not yet economically competitive. Therefore, for this industry to establish itself, and acknowledging the characteristics of each region, there needs to be more intense coordination of efforts between the different industrial and political segments. Low-carbon Hydrogen Use Across Economic Sectors and Global Regions establishes premises for the hydrogen economy and its main environmental aspects. It also includes proposals and scenarios to establish a strategy that relates to

Adas, Camilo Abduch

Magnesium Alloy and Silicon Nitrides Composite Study: Synthesis and Abrasive Water Jet Machining Behavior and Optimization

05-18-02-0014

11/15/2024

Related to traditional engineering materials, magnesium alloy-based composites have the potential for automobile applications and exhibit superior specific mechanical behavior. This study aims to synthesize the magnesium alloy (AZ61) composite configured with 0 wt%, 4 wt%, 8 wt%, and 12 wt% of silicon nitride micron particles, developed through a two-step stir-casting process under an argon environment. The synthesized cast AZ61 alloy matrix and its alloy embedded with 4 wt%, 8 wt%, and 12 wt% of Si3N4 are subjected to an abrasive water jet drilling/machining (AJWM) process under varied input sources such as the diameter of the drill (D), transverse speed rate (v), and composition of AZ61 composite sample. Influences of AJWM input sources on metal removal rate (MRR) and surface roughness (Ra) are calculated for identifying the optimum input source factors to attain the best output responses like maximum MRR and minimum Ra via analysis of variant (ANOVA) Taguchi route with L16 design

Venkatesh, R.

Development of ANFIS Predictive Model for Additive Manufacturing of TPU Material

2024-28-0025

10/17/2024

Additive Manufacturing (AM) techniques, particularly Fusion Deposition Modeling (FDM), have received considerable interest due to their capacity to create complex structures using a diverse array of materials. The objective of this study is to improve the process control and efficiency of Fused Deposition Modeling (FDM) for Thermoplastic Polyurethane (TPU) material by creating a predictive model using an Adaptive Neuro-Fuzzy Inference System (ANFIS). The study investigates the impact of FDM process parameters, including layer height, nozzle temperature, and printing speed, on key printing attributes such as tensile strength, flexibility, and surface quality. Several experimental trials are performed to gather data on these parameters and their corresponding printing attributes. The ANFIS predictive model is built using the collected dataset to forecast printing characteristics by analyzing input process parameters. The ANFIS model utilizes the learning capabilities of neural networks

Pasupuleti, Thejasree, Natarajan, Manikandan, D, Palanisamy, A, Gnanarathinam, Umapathi, D, Kiruthika, Jothi

Experimental Investigation of Electro-Discharge-Machined EN-24 and EN-42 Alloys

05-18-01-0005

10/04/2024

The EN24 and EN42 materials were machined by the electric discharge machine (EDM). The study aimed to optimize the input variables for the multiple outputs, such as metal removal rate (MRR), tool wear rate (TWR), and surface roughness. The machining of the metal is essential to analyze the surface quality and the production rate. The MRR is a prediction of the production rate and surface roughness resembling the quality of the surface. The input variables were current (A), pulse on time (ton), and pulse duty factor (T). The three levels of current were 3A, 6A, and 9A. The ton time was selected as 30 μs, 50 μs, and 70 μs. The pulse duty factors were selected as 4, 5, and 6. The Taguchi optimization techniques are used to optimize process parameters. The L9 orthogonal array was selected for the process. ANOVA analysis was employed to check the rank of the input parameters relative to the output. The maximum MRR were at 9A, 70 μs, and 4 duty factor for the EN24. The best MRR were at 9A

Sahu, Kapil Dev, Singh, Rajnish, Chauhan, Akhilesh Kumar

Items per page:

1 – 50 of 8017