The New Ford Truck Plant at São Bernardo - Adoption of a “State-Of-The-Art” Manufacturing Process

2001 ◽  
Author(s):  
Rubens Cella ◽  
Ricardo José Tangary Ferraz De Camargo ◽  
Celso Augusto Jorge
Keyword(s):  
Manufacturing Process ◽  
State Of The Art ◽  
Truck Plant

Research – Design & Development of Fast Customized Manufacturing for Prostheses TKR Based on Rapid Prototyping

2014 ◽  
Vol 980 ◽  
pp. 243-247 ◽  
Author(s):  
Agri Suwandi ◽  
Gandjar Kiswanto ◽  
Widjajalaksmi Kusumaningsih ◽  
Tresna P. Soemardi
Keyword(s):  
Total Knee Replacement ◽  
Rapid Prototyping ◽  
Manufacturing Process ◽  
Manufacturing Systems ◽  
State Of The Art ◽  
Rapid Manufacturing ◽  
Prosthetic Rehabilitation ◽  
Standard Geometry ◽  
Total Knee ◽  
Organ Replacement

The challenge for engineer’s orthopedic prosthetic rehabilitation is to find a state of the art in the field, technical or otherwise, that will help their clients who have disabilities. Organ replacement with prostheses is one of the most successful procedures until now. However prostheses are still using standard geometry that has been determined by the manufacturer of the prostheses and it becomes a problem. In addition to the design size that does not fit, long manufacturing process takes time and is expensive also being a problem. Suitability of the prostheses with the patient's body anthropometry and speed of production in the manufacture of the prostheses is very important. In manufacturing, precision and speed of manufacture of the product is something that is possible but requires a high cost, especially in the manufacture of prostheses. By using rapid prototyping technology are available, this research try to develop the customized and rapid manufacturing systems for the manufacture of prostheses, especially for Total Knee Replacement (TKR).

Substrate Optimization for Hybrid Manufacturing

2019 ◽  
Author(s):  
Brandon R. Massoni ◽  
Matthew I. Campbell
Keyword(s):  
Additive Manufacturing ◽  
Manufacturing Process ◽  
State Of The Art ◽  
Cost Effective ◽  
Hybrid Manufacturing ◽  
Viable Option ◽  
New Approach ◽  
Process Plans ◽  
Type Size ◽  
Effective Additive

Abstract While advances in metals additive manufacturing continue to make additive a viable option in more scenarios, these processes are generally slower and more expensive than subtractive methods, like machining. The combination of both additive and subtractive, often called hybrid manufacturing, can be used to get the benefits of both processes, while reducing cost. However, dividing a part into the most cost effective additive and subtractive features is often time-consuming and non-intuitive. In this paper, we present a new approach that optimizes the type, size, and position of a substrate within a part. The resulting hybrid manufacturing configuration enables engineers to reach the most cost-effective compromise between additive and machining. A fully implemented method has been developed and tested on several realistic engineering parts. The results are intuitively useful and push the state-of-the-art forward in generating hybrid manufacturing process plans.

scholarly journals State of the Art on Robust Design Methods for Additive Manufacturing

2021 ◽  
pp. 80-85
Author(s):  
Youssef Malyani ◽  
Myriam Orquéra ◽  
Dominique Millet
Keyword(s):  
Additive Manufacturing ◽  
Robust Design ◽  
Manufacturing Process ◽  
State Of The Art ◽  
Design Methods ◽  
Complex Geometries

AbstractAdditive Manufacturing (AM) technologies allow to produce functional parts with complex geometries that cannot be manufactured by conventional processes. However, the complexity of the product is increased and causes new constraints in the manufacturing process. Therefore, these new processes lead particularly to new needs in design methods. The objective of this paper is to explore and form an overall view of design methods, especially, robust design (RD) methods. Robust design is defined here as a methodology that enables to design a product with optimal performances and insensitivity to small variations of the inputs of the manufacturing process. In this contribution a state of the art of robust design methods applied to AM will be carried out.

Smart Manufacturing: State-of-the-Art Review in Context of Conventional and Modern Manufacturing Process Modeling, Monitoring and Control

2018 ◽  
Author(s):  
Parikshit Mehta ◽  
Prahalada Rao ◽  
Zhenhua (David) Wu ◽  
Vukica Jovanović ◽  
Olga Wodo ◽  
...  
Keyword(s):  
Process Modeling ◽  
Manufacturing Process ◽  
Industry 4.0 ◽  
Data Science ◽  
State Of The Art ◽  
Smart Manufacturing ◽  
Future Research ◽  
High Tech ◽  
Monitoring And Control ◽  
And Control

With the advances in automation technologies, data science, process modeling and process control, industries worldwide are at the precipice of what is described as the fourth industrial revolution (Industry 4.0). This term was coined in 2011 by the German federal government to define their strategy related to high tech industry [1], specifically multidisciplinary sciences involving physics-based process modeling, data science and machine learning, cyber-physical systems, and cloud computing coming together to drive operational excellence and support sustainable manufacturing. The boundaries between Information Technologies (I.T.) and Operation Technologies (O.T.) are quickly dissolving and the opportunities for taking lab-scale manufacturing science research to plant and enterprise wide deployment are better than ever before. There are still questions to be answered, such as those related to the future of manufacturing research and those related to meeting such demands with a highly skilled workforce. Furthermore, in this new environment it is important to understand how process modeling, monitoring, and control technologies will be transformed. The aim of the paper is to provide state-of-the-art review of Smart Manufacturing and Industry 4.0 within scope of process monitoring, modeling and control. This will be accomplished by giving comprehensive background review and discussing application of smart manufacturing framework to conventional (machining) and advanced (additive) manufacturing process case studies. By focusing on process modeling, monitoring, analytics, and control within the larger vision of Industry 4.0, this paper will provide a directed look at the efforts in these areas, and identify future research directions that would accelerate the pace of implementation in advanced manufacturing industry.

Efficient Evaluation of Physical Unclonable Functions Using Entropy Measures

2015 ◽  
Vol 25 (01) ◽  
pp. 1640001 ◽  
Author(s):  
Michael Pehl ◽  
Matthias Hiller ◽  
Helmut Graeb
Keyword(s):  
Manufacturing Process ◽  
State Of The Art ◽  
Systematic Evaluation ◽  
Global Evaluation ◽  
Convergence Properties ◽  
Design Problems ◽  
Physical Unclonable Functions ◽  
Systematic Scheme ◽  
Entropy Measures ◽  
Simulation Results

Physical unclonable functions (PUFs) are security primitives which are based on uncontrollable variations in the manufacturing process and can be used as secure key storage and for identification and authentication. While some work has been done on global evaluation of PUFs with respect to predictability, there is no systematic evaluation strategy to give designers insights into design problems. However, flaws in the design can give an adversary an advantage to guess the response of a PUF. Therefore, this work focuses on a systematic scheme for designers to evaluate the predictability of PUF implementation. Also, the used entropy measures are compared to state-of-the-art metrics for PUFs, convergence properties are presented and the scheme is validated using simulation results for PUFs.

The state of the art of photochemical machining at the start of the twenty-first century

2003 ◽  
Vol 217 (5) ◽  
pp. 643-650 ◽  
Author(s):  
D M Allen
Keyword(s):  
Environmental Impact ◽  
Manufacturing Process ◽  
State Of The Art ◽  
The State ◽  
First Century ◽  
Rapid Manufacturing ◽  
Future Role ◽  
Twenty First Century

This paper reviews photochemical machining, prior to 2001, in terms of its history, materials, products, environmental impact and markets. Its future role in providing a rapid manufacturing process is also discussed.

scholarly journals Searchable Encryption with Access Control in Industrial Internet of Things (IIoT)

2021 ◽  
Vol 2021 ◽  
pp. 1-10
Author(s):  
Jawhara Bader ◽  
Anna Lito Michala
Keyword(s):  
Internet Of Things ◽  
Manufacturing Process ◽  
State Of The Art ◽  
Industrial Sector ◽  
Monitoring Systems ◽  
Industrial Internet Of Things ◽  
Industrial Internet ◽  
Enhance Efficiency ◽  
Iot Devices ◽  
The Internet Of Things

The technological advancements in the Internet of Things (IoT) and related technologies lead to revolutionary advancements in many sectors. One of these sectors, is the industrial sector red that leverages IoT technologies forming the Industrial Internet of Things (IIoT). IIoT has the potential to enhance the manufacturing process by improving the quality, trace-ability, and integrity of the industrial processes. The enhancement of the manufacturing process is achieved by deploying IoT devices (sensors) across the manufacturing facilities; therefore, monitoring systems are required to collect (from multiple locations) and analyse the data, most likely in the cloud. As a result, IIoT monitoring systems should be secure, preserve the privacy, and provide real-time responses for critical decision-making. In this review, we identified a gap in the state-of-the-art of secure IIoT and propose a set of criteria for secure and privacy preserving IIoT systems to enhance efficiency and deliver better IIoT applications.

The Effect of Fin Geometry and Manufacturing Process on Ceramic Regenerator Thermodynamic Performance

1977 ◽  
Vol 99 (4) ◽  
pp. 638-644
Author(s):  
C. A. Fucinari
Keyword(s):  
Heat Transfer ◽  
Pressure Drop ◽  
Performance Prediction ◽  
Manufacturing Process ◽  
State Of The Art ◽  
Thermodynamic Performance ◽  
Package Size ◽  
The Matrix ◽  
Simplified Analysis

The essential parameters required for accurate regenerator thermodynamic performance prediction are the basic heat transfer and pressure drop characteristics of the matrix fin configuration. The basic heat transfer and pressure drop characteristics evaluated in a “shuttle rig” of the existing “state of the art” matrix fin configurations will be presented. Based on these data, the effect of fin geometry and manufacturing process on ceramic regenerator performance will be discussed. In addition, a simplified analysis for estimating the effect of alterations in package size and/or fin parameters on regenerator performance will be presented.

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