The document provides an overview of product life cycles, ergonomics, and related topics. It discusses:
1. The stages a product goes through from introduction to removal from shelves, and how product life cycles are used in management and marketing.
2. Ergonomics as the scientific study of human-system interactions to optimize performance and well-being, and how it is applied to interface and job design.
3. Life cycle assessment (LCA) as a framework to evaluate the environmental impacts of products throughout their life, including goal definition, inventory analysis, impact assessment, and interpretation.
The lesson outcomes are to define uncertainty, solve problems related to uncertainty, define ‘patent’, and identify patentable and non-patentable products.
Communication & detailed design analysisAJFernando
The lesson outcomes are to identify the importance of communication, recognize the steps in detailed design analysis, identify prototype types, explain prototypes' importance, and recognize prototyping methods.
The lesson outcomes are to identify the concept selection methods, apply different concept selection methods to select an appropriate concept for a design, and discuss the benefits of the concept selection process.
Gathering information & concept generationAJFernando
The lesson outcomes are to identify the sources of gathering information, identify barriers to creative thinking, discuss concept generation approaches, and develop conceptual designs.
Information Systems Action design research methodRaimo Halinen
This document outlines an agenda for a workshop on action design research methods. The workshop includes sessions on action design research, comparing design science, action research, and action design research methods, and using the action design research method. It discusses principles of action design research like problem-inspired research, theory-ingrained artifacts, and reciprocal shaping between researchers and practitioners. The document also includes frameworks and schemas for the generic action design research process.
This paper analyzes research on biomimicry, including common tools and methods used. It finds that the most frequently used keyword is "biomimetic" and that research publications have been increasing linearly over time. The top fields of research are chemistry, materials science, and engineering, with most work done in China, France, and the US. Challenges include unfamiliarity with biology, gaps in transitioning between domains, and a lack of standardized tools and methods. The conclusion calls for more case studies and education to advance the field of biologically inspired design.
The document provides an overview of product life cycles, ergonomics, and related topics. It discusses:
1. The stages a product goes through from introduction to removal from shelves, and how product life cycles are used in management and marketing.
2. Ergonomics as the scientific study of human-system interactions to optimize performance and well-being, and how it is applied to interface and job design.
3. Life cycle assessment (LCA) as a framework to evaluate the environmental impacts of products throughout their life, including goal definition, inventory analysis, impact assessment, and interpretation.
The lesson outcomes are to define uncertainty, solve problems related to uncertainty, define ‘patent’, and identify patentable and non-patentable products.
Communication & detailed design analysisAJFernando
The lesson outcomes are to identify the importance of communication, recognize the steps in detailed design analysis, identify prototype types, explain prototypes' importance, and recognize prototyping methods.
The lesson outcomes are to identify the concept selection methods, apply different concept selection methods to select an appropriate concept for a design, and discuss the benefits of the concept selection process.
Gathering information & concept generationAJFernando
The lesson outcomes are to identify the sources of gathering information, identify barriers to creative thinking, discuss concept generation approaches, and develop conceptual designs.
Information Systems Action design research methodRaimo Halinen
This document outlines an agenda for a workshop on action design research methods. The workshop includes sessions on action design research, comparing design science, action research, and action design research methods, and using the action design research method. It discusses principles of action design research like problem-inspired research, theory-ingrained artifacts, and reciprocal shaping between researchers and practitioners. The document also includes frameworks and schemas for the generic action design research process.
This paper analyzes research on biomimicry, including common tools and methods used. It finds that the most frequently used keyword is "biomimetic" and that research publications have been increasing linearly over time. The top fields of research are chemistry, materials science, and engineering, with most work done in China, France, and the US. Challenges include unfamiliarity with biology, gaps in transitioning between domains, and a lack of standardized tools and methods. The conclusion calls for more case studies and education to advance the field of biologically inspired design.
A full time course project under Prof.Ravi Punekar, IITG { ex HoD / Dean } to learn & execute entire Design process meticuliously following stepwise Design Methodology to Redesign & develop Medical Equipment DENTAL LOUPE which is used by dentist & surgeons globally. The project amassed my research & experience with users, manufacturers & other product influencers that primarily helped to develop a new design for loupes.
Duration :{4 months}
The document describes the Arizona State University Harrington Bioengineering Program. It outlines the program's goals of training students in medical device product design and development using industry best practices. It aims to produce highly qualified graduates through hands-on capstone projects involving the design of medical devices to address real world healthcare needs, both for profit and non-profit. It also discusses the program's vision of empowering people in Africa with disabilities through the design of low-cost assistive technologies.
PhD overview: Sustainable production and consumption by upcycling - Understan...Kyungeun Sung
The slides presented for Horizon Scanning Module (for MA Product Design students) at Nottingham Trent University, Nottingham, UK on 17th October 2016. This presentation shows the overview of PhD research on "Sustainable production and consumption by upcycling: Understanding and scaling up niche environmentally significant behaviour" focusing on introduction and an overarching framework with research methods, excluding results and discussions.
This document is a resume for Gaurav Gandhi, a Biomedical Engineer with over 3 years of experience in research and development. He has a Master's degree in Biomedical Engineering from Drexel University and is currently working on developing medical devices at Artann Labs, including an ultrasonometer for skeletal assessment and a method for enhancing brain drug delivery using acoustic techniques. He is proficient in various engineering and programming skills and seeks opportunities in the medical device industry.
Seth Rojhani is a mechanical engineer with a focus on quality, materials, bioengineering and energy. He has over 3 years of experience in quality engineering for medical devices at Baxter Healthcare, where he has led projects involving remediation, testing, and FDA compliance. Rojhani has a BS in Mechanical Engineering with minors in Biology and Chemistry from UCF, where he also led an adaptive recreation program. He is currently seeking a new engineering position where he can apply his expertise in materials, medical devices, and quality systems.
This document summarizes research on developing a machine learning system to automatically detect and characterize nanoparticles in micrographs. The research used supervised learning algorithms like support vector machines (SVM) and feature extraction methods like SIFT to classify nanoparticles by size and spatial distribution. Initial results showed SIFT features and features based on neighboring pixels improved classifier accuracy over simple (x,y) coordinates. Future work could optimize clustering methods, classification algorithms, and develop software for industrial nanoparticle analysis.
Workflows, provenance and reporting: a lifecycle perspective at BIH 2013, RomeCarole Goble
Workflow systems support the design, configuration and execution of repetitive, multi-step pipelines and analytics, well established in many disciplines, notably biology and chemistry, but less so in biodiversity and ecology. From an experimental perspective workflows are a means to handle the work of accessing an ecosystem of software and platforms, manage data and security, and handle errors. From a reporting perspective they are a means to accurately document methodology for reproducibility, comparison, exchange and reuse, and to trace the provenance of results for review, credit, workflow interoperability and impact analysis. Workflows operate in an evolving ecosystem and are assemblages of components in that ecosystem; their provenance trails are snapshots of intermediate and final results. Taking a lifecycle perspective, what are the challenges in workflow design and use with different stakeholders? What needs to be tackled in evolution, resilience, and preservation? And what are the “mitigate or adapt” strategies adopted by workflow systems in the face of changes in the ecosystem/environment, for example when tools are depreciated or datasets become inaccessible in the face of funding shortfalls?
Martin Dudziak has extensive experience in biological and biomedical research and technology development. He has led multiple projects involving computational modeling of genomics data, medical research, and developing response systems for biological or chemical threats. Currently he works as the Chief Scientist of Tetrad Technologies Group and a visiting professor, applying his expertise in areas like artificial intelligence, sensors, and public health technologies.
Purpose
Prototyping
Types
Importance
Prototyping Principles
When to Use Prototyping
Technologies
Planning Milestones for Prototyping
The Importance of Testing in Prototyping
Conclusion
References
Weston Kujacznski is seeking an entry-level engineering position. He has a B.S. in chemical engineering and minor in computer science from the University of Michigan. He has research experience developing computational models of nanoparticles and automating processes. He also has international work experience in product development at a Chinese biomedical company where he helped strengthen their FDA application. Kujacznski has skills in process engineering, problem solving, quality control, and programming languages.
A lecture on evaluating AR interfaces, from the graduate course on Augmented Reality, taught by Mark Billinghurst from the HIT Lab NZ at the University of Canterbury.
A Decision Tree Learning And Constraint Satisfaction Hybrid For Interactive P...Nicole Adams
This document summarizes the Configuration Workshop held at IJCAI'05, the 19th International Joint Conference on Artificial Intelligence. It provides details on the organizing committee, program committee, and list of papers presented at the workshop. The workshop focused on applying various AI techniques such as algorithms, search performance, and user interaction to solve real-world configuration problems from industry. It aimed to provide an environment for knowledge exchange between academia and industry to further developments in the field of configuration.
Professional Resume - David Filipiak - April 2011DaveFilipiak
The document is a resume for David J. Filipiak. It summarizes his education, including master's and bachelor's degrees from Cornell University and Johns Hopkins University respectively, as well as his relevant experience, including projects in cardiovascular development labs designing heart valves and stents [END SUMMARY]
Professional Resume David J Filipiak Mar 2011DaveFilipiak
The document is a resume for David J. Filipiak. It summarizes his education, including master's and bachelor's degrees from Cornell University and Johns Hopkins University respectively, as well as his relevant experience, including projects in cardiovascular development labs designing heart valves and drug delivery containers. It also lists his technical skills in areas like computational modeling, laboratory techniques, and coursework in areas such as technology commercialization and biomaterials.
The lesson outcomes are to explain how to recognize a need, identify the components in the problem definition, discuss the design considerations, and develop a problem definition statement related to agriculture.
1) The document reviews nature-inspired design strategies for developing sustainable products, including biomimicry, cradle-to-cradle, and nature capitalism.
2) Case studies examined how well these strategies helped students develop sustainable design concepts and addressed ethical issues like safety.
3) One study found bio-mimicry and cradle-to-cradle effective for students to strategize designs, while normal designs require more structure than radical designs in addressing safety.
4) Another used life cycle analysis and scaling to select sustainable, non-toxic materials to lighten a vehicle's weight and improve fuel efficiency.
This document discusses engineering ethics and research. It provides guidelines for ethical research, including obtaining informed consent and protecting participants' anonymity. Engineering ethics require prioritizing public safety above all else. Research should be supported by evidence through experiments, theory, or comparison to previous work. Novice researchers must understand basic principles and validate findings through peer review. The goal of engineering research is to create new knowledge to benefit humanity while following scientific principles and ethical codes of conduct.
This document outlines plans for an Embry-Riddle Aeronautical University (ERAU) student team to design a multifunctional workstation for deep space habitats as part of NASA's X-Hab Academic Innovation Challenge. The workstation would transform between galley, wardroom, medical, and maintenance/repair functions within 5 minutes. The team would develop the design through prototypes and testing. They outline responsibilities for team members, a proposed budget and timeline, design considerations, and collaborations with other schools. The goal is to provide hands-on experience for students and develop a prototype to submit to NASA.
A full time course project under Prof.Ravi Punekar, IITG { ex HoD / Dean } to learn & execute entire Design process meticuliously following stepwise Design Methodology to Redesign & develop Medical Equipment DENTAL LOUPE which is used by dentist & surgeons globally. The project amassed my research & experience with users, manufacturers & other product influencers that primarily helped to develop a new design for loupes.
Duration :{4 months}
The document describes the Arizona State University Harrington Bioengineering Program. It outlines the program's goals of training students in medical device product design and development using industry best practices. It aims to produce highly qualified graduates through hands-on capstone projects involving the design of medical devices to address real world healthcare needs, both for profit and non-profit. It also discusses the program's vision of empowering people in Africa with disabilities through the design of low-cost assistive technologies.
PhD overview: Sustainable production and consumption by upcycling - Understan...Kyungeun Sung
The slides presented for Horizon Scanning Module (for MA Product Design students) at Nottingham Trent University, Nottingham, UK on 17th October 2016. This presentation shows the overview of PhD research on "Sustainable production and consumption by upcycling: Understanding and scaling up niche environmentally significant behaviour" focusing on introduction and an overarching framework with research methods, excluding results and discussions.
This document is a resume for Gaurav Gandhi, a Biomedical Engineer with over 3 years of experience in research and development. He has a Master's degree in Biomedical Engineering from Drexel University and is currently working on developing medical devices at Artann Labs, including an ultrasonometer for skeletal assessment and a method for enhancing brain drug delivery using acoustic techniques. He is proficient in various engineering and programming skills and seeks opportunities in the medical device industry.
Seth Rojhani is a mechanical engineer with a focus on quality, materials, bioengineering and energy. He has over 3 years of experience in quality engineering for medical devices at Baxter Healthcare, where he has led projects involving remediation, testing, and FDA compliance. Rojhani has a BS in Mechanical Engineering with minors in Biology and Chemistry from UCF, where he also led an adaptive recreation program. He is currently seeking a new engineering position where he can apply his expertise in materials, medical devices, and quality systems.
This document summarizes research on developing a machine learning system to automatically detect and characterize nanoparticles in micrographs. The research used supervised learning algorithms like support vector machines (SVM) and feature extraction methods like SIFT to classify nanoparticles by size and spatial distribution. Initial results showed SIFT features and features based on neighboring pixels improved classifier accuracy over simple (x,y) coordinates. Future work could optimize clustering methods, classification algorithms, and develop software for industrial nanoparticle analysis.
Workflows, provenance and reporting: a lifecycle perspective at BIH 2013, RomeCarole Goble
Workflow systems support the design, configuration and execution of repetitive, multi-step pipelines and analytics, well established in many disciplines, notably biology and chemistry, but less so in biodiversity and ecology. From an experimental perspective workflows are a means to handle the work of accessing an ecosystem of software and platforms, manage data and security, and handle errors. From a reporting perspective they are a means to accurately document methodology for reproducibility, comparison, exchange and reuse, and to trace the provenance of results for review, credit, workflow interoperability and impact analysis. Workflows operate in an evolving ecosystem and are assemblages of components in that ecosystem; their provenance trails are snapshots of intermediate and final results. Taking a lifecycle perspective, what are the challenges in workflow design and use with different stakeholders? What needs to be tackled in evolution, resilience, and preservation? And what are the “mitigate or adapt” strategies adopted by workflow systems in the face of changes in the ecosystem/environment, for example when tools are depreciated or datasets become inaccessible in the face of funding shortfalls?
Martin Dudziak has extensive experience in biological and biomedical research and technology development. He has led multiple projects involving computational modeling of genomics data, medical research, and developing response systems for biological or chemical threats. Currently he works as the Chief Scientist of Tetrad Technologies Group and a visiting professor, applying his expertise in areas like artificial intelligence, sensors, and public health technologies.
Purpose
Prototyping
Types
Importance
Prototyping Principles
When to Use Prototyping
Technologies
Planning Milestones for Prototyping
The Importance of Testing in Prototyping
Conclusion
References
Weston Kujacznski is seeking an entry-level engineering position. He has a B.S. in chemical engineering and minor in computer science from the University of Michigan. He has research experience developing computational models of nanoparticles and automating processes. He also has international work experience in product development at a Chinese biomedical company where he helped strengthen their FDA application. Kujacznski has skills in process engineering, problem solving, quality control, and programming languages.
A lecture on evaluating AR interfaces, from the graduate course on Augmented Reality, taught by Mark Billinghurst from the HIT Lab NZ at the University of Canterbury.
A Decision Tree Learning And Constraint Satisfaction Hybrid For Interactive P...Nicole Adams
This document summarizes the Configuration Workshop held at IJCAI'05, the 19th International Joint Conference on Artificial Intelligence. It provides details on the organizing committee, program committee, and list of papers presented at the workshop. The workshop focused on applying various AI techniques such as algorithms, search performance, and user interaction to solve real-world configuration problems from industry. It aimed to provide an environment for knowledge exchange between academia and industry to further developments in the field of configuration.
Professional Resume - David Filipiak - April 2011DaveFilipiak
The document is a resume for David J. Filipiak. It summarizes his education, including master's and bachelor's degrees from Cornell University and Johns Hopkins University respectively, as well as his relevant experience, including projects in cardiovascular development labs designing heart valves and stents [END SUMMARY]
Professional Resume David J Filipiak Mar 2011DaveFilipiak
The document is a resume for David J. Filipiak. It summarizes his education, including master's and bachelor's degrees from Cornell University and Johns Hopkins University respectively, as well as his relevant experience, including projects in cardiovascular development labs designing heart valves and drug delivery containers. It also lists his technical skills in areas like computational modeling, laboratory techniques, and coursework in areas such as technology commercialization and biomaterials.
The lesson outcomes are to explain how to recognize a need, identify the components in the problem definition, discuss the design considerations, and develop a problem definition statement related to agriculture.
1) The document reviews nature-inspired design strategies for developing sustainable products, including biomimicry, cradle-to-cradle, and nature capitalism.
2) Case studies examined how well these strategies helped students develop sustainable design concepts and addressed ethical issues like safety.
3) One study found bio-mimicry and cradle-to-cradle effective for students to strategize designs, while normal designs require more structure than radical designs in addressing safety.
4) Another used life cycle analysis and scaling to select sustainable, non-toxic materials to lighten a vehicle's weight and improve fuel efficiency.
This document discusses engineering ethics and research. It provides guidelines for ethical research, including obtaining informed consent and protecting participants' anonymity. Engineering ethics require prioritizing public safety above all else. Research should be supported by evidence through experiments, theory, or comparison to previous work. Novice researchers must understand basic principles and validate findings through peer review. The goal of engineering research is to create new knowledge to benefit humanity while following scientific principles and ethical codes of conduct.
This document outlines plans for an Embry-Riddle Aeronautical University (ERAU) student team to design a multifunctional workstation for deep space habitats as part of NASA's X-Hab Academic Innovation Challenge. The workstation would transform between galley, wardroom, medical, and maintenance/repair functions within 5 minutes. The team would develop the design through prototypes and testing. They outline responsibilities for team members, a proposed budget and timeline, design considerations, and collaborations with other schools. The goal is to provide hands-on experience for students and develop a prototype to submit to NASA.
HEAP SORT ILLUSTRATED WITH HEAPIFY, BUILD HEAP FOR DYNAMIC ARRAYS.
Heap sort is a comparison-based sorting technique based on Binary Heap data structure. It is similar to the selection sort where we first find the minimum element and place the minimum element at the beginning. Repeat the same process for the remaining elements.
Adaptive synchronous sliding control for a robot manipulator based on neural ...IJECEIAES
Robot manipulators have become important equipment in production lines, medical fields, and transportation. Improving the quality of trajectory tracking for
robot hands is always an attractive topic in the research community. This is a
challenging problem because robot manipulators are complex nonlinear systems
and are often subject to fluctuations in loads and external disturbances. This
article proposes an adaptive synchronous sliding control scheme to improve trajectory tracking performance for a robot manipulator. The proposed controller
ensures that the positions of the joints track the desired trajectory, synchronize
the errors, and significantly reduces chattering. First, the synchronous tracking
errors and synchronous sliding surfaces are presented. Second, the synchronous
tracking error dynamics are determined. Third, a robust adaptive control law is
designed,the unknown components of the model are estimated online by the neural network, and the parameters of the switching elements are selected by fuzzy
logic. The built algorithm ensures that the tracking and approximation errors
are ultimately uniformly bounded (UUB). Finally, the effectiveness of the constructed algorithm is demonstrated through simulation and experimental results.
Simulation and experimental results show that the proposed controller is effective with small synchronous tracking errors, and the chattering phenomenon is
significantly reduced.
ACEP Magazine edition 4th launched on 05.06.2024Rahul
This document provides information about the third edition of the magazine "Sthapatya" published by the Association of Civil Engineers (Practicing) Aurangabad. It includes messages from current and past presidents of ACEP, memories and photos from past ACEP events, information on life time achievement awards given by ACEP, and a technical article on concrete maintenance, repairs and strengthening. The document highlights activities of ACEP and provides a technical educational article for members.
Using recycled concrete aggregates (RCA) for pavements is crucial to achieving sustainability. Implementing RCA for new pavement can minimize carbon footprint, conserve natural resources, reduce harmful emissions, and lower life cycle costs. Compared to natural aggregate (NA), RCA pavement has fewer comprehensive studies and sustainability assessments.
CHINA’S GEO-ECONOMIC OUTREACH IN CENTRAL ASIAN COUNTRIES AND FUTURE PROSPECTjpsjournal1
The rivalry between prominent international actors for dominance over Central Asia's hydrocarbon
reserves and the ancient silk trade route, along with China's diplomatic endeavours in the area, has been
referred to as the "New Great Game." This research centres on the power struggle, considering
geopolitical, geostrategic, and geoeconomic variables. Topics including trade, political hegemony, oil
politics, and conventional and nontraditional security are all explored and explained by the researcher.
Using Mackinder's Heartland, Spykman Rimland, and Hegemonic Stability theories, examines China's role
in Central Asia. This study adheres to the empirical epistemological method and has taken care of
objectivity. This study analyze primary and secondary research documents critically to elaborate role of
china’s geo economic outreach in central Asian countries and its future prospect. China is thriving in trade,
pipeline politics, and winning states, according to this study, thanks to important instruments like the
Shanghai Cooperation Organisation and the Belt and Road Economic Initiative. According to this study,
China is seeing significant success in commerce, pipeline politics, and gaining influence on other
governments. This success may be attributed to the effective utilisation of key tools such as the Shanghai
Cooperation Organisation and the Belt and Road Economic Initiative.
Low power architecture of logic gates using adiabatic techniquesnooriasukmaningtyas
The growing significance of portable systems to limit power consumption in ultra-large-scale-integration chips of very high density, has recently led to rapid and inventive progresses in low-power design. The most effective technique is adiabatic logic circuit design in energy-efficient hardware. This paper presents two adiabatic approaches for the design of low power circuits, modified positive feedback adiabatic logic (modified PFAL) and the other is direct current diode based positive feedback adiabatic logic (DC-DB PFAL). Logic gates are the preliminary components in any digital circuit design. By improving the performance of basic gates, one can improvise the whole system performance. In this paper proposed circuit design of the low power architecture of OR/NOR, AND/NAND, and XOR/XNOR gates are presented using the said approaches and their results are analyzed for powerdissipation, delay, power-delay-product and rise time and compared with the other adiabatic techniques along with the conventional complementary metal oxide semiconductor (CMOS) designs reported in the literature. It has been found that the designs with DC-DB PFAL technique outperform with the percentage improvement of 65% for NOR gate and 7% for NAND gate and 34% for XNOR gate over the modified PFAL techniques at 10 MHz respectively.
DEEP LEARNING FOR SMART GRID INTRUSION DETECTION: A HYBRID CNN-LSTM-BASED MODELgerogepatton
As digital technology becomes more deeply embedded in power systems, protecting the communication
networks of Smart Grids (SG) has emerged as a critical concern. Distributed Network Protocol 3 (DNP3)
represents a multi-tiered application layer protocol extensively utilized in Supervisory Control and Data
Acquisition (SCADA)-based smart grids to facilitate real-time data gathering and control functionalities.
Robust Intrusion Detection Systems (IDS) are necessary for early threat detection and mitigation because
of the interconnection of these networks, which makes them vulnerable to a variety of cyberattacks. To
solve this issue, this paper develops a hybrid Deep Learning (DL) model specifically designed for intrusion
detection in smart grids. The proposed approach is a combination of the Convolutional Neural Network
(CNN) and the Long-Short-Term Memory algorithms (LSTM). We employed a recent intrusion detection
dataset (DNP3), which focuses on unauthorized commands and Denial of Service (DoS) cyberattacks, to
train and test our model. The results of our experiments show that our CNN-LSTM method is much better
at finding smart grid intrusions than other deep learning algorithms used for classification. In addition,
our proposed approach improves accuracy, precision, recall, and F1 score, achieving a high detection
accuracy rate of 99.50%.
6th International Conference on Machine Learning & Applications (CMLA 2024)ClaraZara1
6th International Conference on Machine Learning & Applications (CMLA 2024) will provide an excellent international forum for sharing knowledge and results in theory, methodology and applications of on Machine Learning & Applications.
1. PROTOTYPE DEVELOPMENT & TESTING
Design Philosophy
Dr. (Ms.) Jayaruwani Fernando, Ph.D. (Ag. & Biosystems Engineering), M.S. (Industrial
& Ag. Technology), M.Phil. (Ag. & Biosystems Engineering), B.Sc. (Agriculture)
2. LESSON OUTCOMES
• Identify types of prototypes
• Explain the importance of prototypes
• Recognize prototyping methods
Dr. (Ms.) Jayaruwani Fernando, Ph.D. (Ag. & Biosystems Engineering), M.S. (Industrial and Ag. Technology), M.Phil. (Ag. & Biosystems Engineering), B.Sc. (Agriculture)
3. PROTOTYPE DEVELOPMENT AND TESTING
• Prototype - A design representation of some aspect such as form/fit
or function of a design
• An early stage/version of the design
• Intends to prove/validate/test the design idea
• Communicates the design idea to both the design team and clients
Recognize the need
Problem definition
Gathering of information
Concept generation
Concept selection
Communication
Detailed design and analysis
Prototype Development and
Testing
Dr. (Ms.) Jayaruwani Fernando, Ph.D. (Ag. & Biosystems Engineering), M.S. (Industrial and Ag. Technology), M.Phil. (Ag. & Biosystems Engineering), B.Sc. (Agriculture)
4. PHYSICAL VS. ANALYTICAL PROTOTYPES
Physical Prototypes Analytical Prototypes
1. Tangible approximation of the product 1. Mathematical model of the product
2. Used to test idea quickly, Validate the
functionality
2. Can only exhibit behavior arising from explicitly
modelled phenomena
3. Often best for communication 3. Often allow more experimental freedom than
physical models
Dr. (Ms.) Jayaruwani Fernando, Ph.D. (Ag. & Biosystems Engineering), M.S. (Industrial and Ag. Technology), M.Phil. (Ag. & Biosystems Engineering), B.Sc. (Agriculture)
5. 3D design of the first prototype of pepper
harvester attached to a walking cultivator
Prototype of pepper harvester attached to a
walking cultivator
Physical prototype Analytical prototype
Kim, T. H., Kim, D. C., & Cho, Y. (2020). Performance Comparison and Evaluation of Two Small Chili Pepper Harvester Prototypes That Attach to Walking Cultivators. Applied Sciences, 10(7), 2570.
6. Finite element representation of the piezoelectric
energy harvester
Finite element analyses of mini
combine harvester chassis and hitch
Abdelkefi, A., Barsallo, N., Tang, L., Yang, Y., & Hajj, M. R. (2014). Modeling, validation, and
performance of low-frequency piezoelectric energy harvesters. Journal of Intelligent Material
Systems and Structures, 25(12), 1429-1444.
Abdulkarim, K. O., Abdulrahman, K. O., Ahmed, I. I., Abdulkareem, S., Adebisi,
J. A., & Harmanto, D. (2017). Finite element analysis of mini combined
harvester chassis and hitch.
7. Applying CFD for Studying the
Dynamic and Thermal Behavior of an
Indirect Solar Dryer
Khaldi, S., Korti, A. N., & Abboudi, S. (2017). Applying CFD for Studying the Dynamic and
Thermal Behavior of Solar Chimney Drying System with Reversed Absorber. International
Journal of Food Engineering, 13(11).
8. Drying uniformity in tray dryer system using CFD simulation
Misha, S., Mat, S., Ruslan, M. H., Sopian, K., & Salleh, E. (2013). The prediction of drying uniformity in tray dryer system using CFD
simulation. International Journal of Machine Learning and Computing, 3(5), 419.
9. FOCUSED VS. COMPREHENSIVE PROTOTYPES
Focused Prototypes Comprehensive Prototypes
1. Implement one or a few attributes of
the product
1. Implement many or all attributes of the
product
2. Answer specific questions about the
product design
2. Offer opportunities for rigorous testing
3. Generally several are required 3. Often best for milestones and
integration
Dr. (Ms.) Jayaruwani Fernando, Ph.D. (Ag. & Biosystems Engineering), M.S. (Industrial and Ag. Technology), M.Phil. (Ag. & Biosystems Engineering), B.Sc. (Agriculture)
10. Focused Prototypes
Comprehensive Prototypes
Kim, T. H., Kim, D. C., & Cho, Y. (2020). Performance Comparison and Evaluation of Two Small Chili Pepper Harvester Prototypes That Attach to Walking Cultivators. Applied Sciences, 10(7), 2570.
11. PROTOTYPING
• Alpha prototypes
• first testable prototype variant of a potential product
• Beta prototype
• much closer to the final product than alpha prototypes
Dr. (Ms.) Jayaruwani Fernando, Ph.D. (Ag. & Biosystems Engineering), M.S. (Industrial and Ag. Technology), M.Phil. (Ag. & Biosystems Engineering), B.Sc. (Agriculture)
13. IMPORTANCE OF USING PROTOTYPES
1. Learning “will our design work?”, “how well does the design meet the customer needs?”
2. Communication Communicate with customer,
top management, vendors, engineers etc.
3. Integration combine sub-systems into a system model
4. Milestones a goal for the development team
Dr. (Ms.) Jayaruwani Fernando, Ph.D. (Ag. & Biosystems Engineering), M.S. (Industrial and Ag. Technology), M.Phil. (Ag. & Biosystems Engineering), B.Sc. (Agriculture)
14. PRINCIPLES OF PROTOTYPING
• Analytical prototypes are generally more flexible than physical prototypes
Example: changing a dimension in 3D CAD modeling is really quick
• Physical prototypes are required to detect anticipated phenomena
Physical prototypes often exhibits unanticipated phenomena
Physical prototypes intended to investigate purely geometric issues will also have
thermal and optical properties
Dr. (Ms.) Jayaruwani Fernando, Ph.D. (Ag. & Biosystems Engineering), M.S. (Industrial and Ag. Technology), M.Phil. (Ag. & Biosystems Engineering), B.Sc. (Agriculture)
15. A prototype may reduce the risk of Costly Iterations
Dr. (Ms.) Jayaruwani Fernando, Ph.D. (Ag. & Biosystems Engineering), M.S. (Industrial and Ag. Technology), M.Phil. (Ag. & Biosystems Engineering), B.Sc. (Agriculture)
16. A prototype may reduce the risk of Costly Iterations
Dr. (Ms.) Jayaruwani Fernando, Ph.D. (Ag. & Biosystems Engineering), M.S. (Industrial and Ag. Technology), M.Phil. (Ag. & Biosystems Engineering), B.Sc. (Agriculture)
17. A prototype may expedite other development stage
Dr. (Ms.) Jayaruwani Fernando, Ph.D. (Ag. & Biosystems Engineering), M.S. (Industrial and Ag. Technology), M.Phil. (Ag. & Biosystems Engineering), B.Sc. (Agriculture)
18. A prototype may restructure task dependencies
Dr. (Ms.) Jayaruwani Fernando, Ph.D. (Ag. & Biosystems Engineering), M.S. (Industrial and Ag. Technology), M.Phil. (Ag. & Biosystems Engineering), B.Sc. (Agriculture)
19. PROTOTYPING METHODS
• 3D CAD Modeling and Analysis
• Solidworks
• Finite Element Method
• Computational Fluid Dynamics
• Free Form Modeling → rapid prototyping
• Stereolithography
• 3D printing
• Conventional manufacturing technology
• CNC machining
• Rubber molding, silicone molding
• Material: wood, plastic, foam
Dr. (Ms.) Jayaruwani Fernando, Ph.D. (Ag. & Biosystems Engineering), M.S. (Industrial and Ag. Technology), M.Phil. (Ag. & Biosystems Engineering), B.Sc. (Agriculture)
20. PLANNING FOR PROTOTYPES – 4 STEPS
• Step 1: Define the purpose of the prototype. – What is the prototype for? Is it for learning,
communication, integration, or milestone?
• Step 2: Establish Level of Approximation. – Is an analytical prototype good enough or a physical
prototype necessary? Should it “works like” or just “looks like”?
• Step 3: Outline an Experimental Plan – Decide on what measurements have to be taken. What
combinations of configurations need to be tested? Test conditions?
• Step 4: Create a Schedule for Procurement, Construction, and Testing. – Prototyping is a sub-
project within the overall product development project. What parts need to be ordered,
assembled? When must it be completed? How much time for testing?
Dr. (Ms.) Jayaruwani Fernando, Ph.D. (Ag. & Biosystems Engineering), M.S. (Industrial and Ag. Technology), M.Phil. (Ag. & Biosystems Engineering), B.Sc. (Agriculture)
21. MANUFACTURING
• Workshop
Recognize the need
Problem definition
Gathering of information
Concept generation
Concept selection
Communication
Detailed design and analysis
Prototype Development and
Testing
Manufacturing
Dr. (Ms.) Jayaruwani Fernando, Ph.D. (Ag. & Biosystems Engineering), M.S. (Industrial and Ag. Technology), M.Phil. (Ag. & Biosystems Engineering), B.Sc. (Agriculture)