Project-based learning of systems engineering V model with the support of 3D printing

4D printing: Pragmatic progression in biofabrication

Over the past few decades, threedimensional (3D) printing has greatly aided in the creation of patient-specific prosthesis, drug administration, tissue and organ manufacturing, and surgery planning. Since the US established its Precision Medicine Initiative in 2015, there has been a surge in interest in personalized healthcare. The term "personalized medicine" basically describes patient-specific medical treatment. However, the biomedical materials used in 3D printing are frequently stable and incapable of responding to or being intelligently and adaptively adapted to the inside environment of the body. A disparity between the printed section and the target portions may result from ex-situ manufacturing of these materials, which involves printing on a flat substrate before releasing it onto the target surface. One technique that could be applied to offer individualized care is 3D printing. The components used in the development of four-dimensional (4D) printing can be adjusted through stimulation. Recently, a number of academics have begun examining a novel field that combines 3D and 4D printing with medications. Many of these problems are resolved by the development of 4D printing, which also bodes well for thebiomedical sector going forward. Pre-programmed smart materials can be utilized in 4D printing to produce structures that respond interactively to external stimuli

3D Printing, sometimes referred to as additive manufacturing, has made the concept of personalized medicine a reality. The primary objective of 3D and 4D printing is to produce intricate, customized pharmaceuticals at a reasonable cost. With improvements in materials, resolution, and speed, 3D printing technology is quickly developing. It includes faster construction, cost efficiency through reduced waste, design flexibility for complex structures, and sustainability through optimized material usage. An extensive literature survey was done on 3D and 4D printing of pharmaceuticals using PubMed, Elsevier, ScienceDirect, and Springer. The results were then filtered based on the titles, abstracts, and accessibility of the complete texts. The search engine Google Scholar was accessed for literature data mining. From the data mining, it was found that from the year 2009 to 2024 the number of research publications surged more than 200 times on the current topic. Even though 3-D and 4-D printing technologies have advanced significantly in a short amount of time, the most often used ones are still stereolithography, nozzle-based deposition, inkjet, and selective laser sintering. Their use has been modified for the production of nanoparticles, polypills, tablets, and implants, etc. Pharma's aspirations for tailored medications are being revolutionized by 3D printing, but cost, flexibility, and bioequivalence still need to be investigated. The present review offers a thorough analysis of various 3D and 4D printing methods and emphasizes the major advantages and disadvantages and major key challenges of 3D and 4D printing related to pharmaceuticals. Compared to 3D Printing, 4D printing offers better quality, efficacy, and functionality.

In Memoriam: Dr. Clive L. Dym (1942–2016)

The Air Traffic Control industry is being increasingly exposed to rising levels of risk, as criminals and cyber‐attackers look to exploit system vulnerabilities. Air Navigation Service Providers become more demanding regarding cybersecurity concerns in the products they acquire. Consequently, systems engineers need to consider cyber security concerns early in their system's development life cycle. Model‐Based Systems Engineering methodologies are widely used to manage complex engineering projects in terms of system requirements, design, analysis, verification, and validation activities, leaving cyber security aspects aside. This paper presents a conceptual solution of a model‐based security method that aims to enable systems engineers to perform threat modeling analysis of cyber‐physical systems early and incorporate mitigation strategies into the system design, thereby reducing the cyber‐physical system's overall security‐related risks. Based on a real‐life case study the method will be validated later during execution period from Jan. – May 2022.

The existing 3D printing methods exhibit certain fabrication-dependent limitations for printing curved constructs that are relevant for many tissues. Four-dimensional (4D) printing is an emerging technology that is expected to revolutionize the field of tissue engineering and regenerative medicine (TERM). 4D printing is based on 3D printing, featuring the introduction of time as the fourth dimension, in which there is a transition from a 3D printed scaffold to a new, distinct, and stable state, upon the application of one or more stimuli. Here, we present an overview of the current developments of the 4D printing technology for TERM, with a focus on approaches to achieve temporal changes of the shape of the printed constructs that would enable biofabrication of highly complex structures. To this aim, the printing methods, types of stimuli, shape-shifting mechanisms, and cell-incorporation strategies are critically reviewed. Furthermore, the challenges of this very recent biofabrication technology as well as the future research directions are discussed. Our findings show that the most common printing methods so far are stereolithography (SLA) and extrusion bioprinting, followed by fused deposition modelling, while the shape-shifting mechanisms used for TERM applications are shape-memory and differential swelling for 4D printing and 4D bioprinting, respectively. For shape-memory mechanism, there is a high prevalence of synthetic materials, such as polylactic acid (PLA), poly(glycerol dodecanoate) acrylate (PGDA), or polyurethanes. On the other hand, different acrylate combinations of alginate, hyaluronan, or gelatin have been used for differential swelling-based 4D transformations. TERM applications include bone, vascular, and cardiac tissues as the main target of the 4D (bio)printing technology. The field has great potential for further development by considering the combination of multiple stimuli, the use of a wider range of 4D techniques, and the implementation of computational-assisted strategies.

Recent 3D and 4D intelligent printing technologies: A comparative review and future perspective

Three-dimensional (3D) bioprinting is a versatile technique for biomedical applications, and includes organ printing, 3D disease model development, and drug delivery. The bioprintable materials combined with live cells have been utilized as bioinks in 3D bioprinter to fabricate versatile 3D printed structures. The 3D structures developed with smart and responsive materials can change their dimension, a technique similar to self-assembly, unfolding a new branch termed as four-dimensional (4D) printing. This manuscript reviews the details of various bioprintable materials and 3D printers, the application of 3D printing in biomedicine, smart materials, and stimulations for 4D printing. Further, this article also summarizes the regulatory issues and the limitations involved with the bioprinting. The advancements in 3D and 4D printing technology have significantly contributed to the medical field, and adequate research and amalgamation of engineering and science ideas will strengthen the application of this technology and bring solution for the existing problems.Graphical abstract

Electromagnetic 2D scanning micromirror fabricated with 3D printed polymer parts for LiDAR applications

Alumina (Al2O3) suspensions were prepared for the effective application in the stereolithography three-dimensional (3D) printing process. Thermal treatment of -Al2O3 could optimize the ceramic slurries to meet the requirements of stereolithography 3D printing technique. In this study, alumina powders were modified by thermal treatment at different temperatures for the preparation of well dispersed ceramic slurries. The influence of thermal treatment on the raw powder, printed green bodies, and sintered alumina parts was systematically studied. Thermogravimetric analysis indicated that the decomposition temperature of photosensitive resin was between 390C and 460C. The alumina powders became denser, the crystal grains changed from round sphere-shaped to long cylinder-shaped, and the pores disappeared with increasing thermal treatment temperature. After the 3D printing process, the microstructure of green bodies and sintered alumina ceramics exhibited significant variation. Decomposition and removal of photosensitive resin led to higher water absorption, higher porosity, and lower bulk density of alumina ceramics compared to the printed green bodies. The scattering phenomenon in ceramic slurries and layer-by-layer forming characteristic determined the different shrinkage in three directions. Experimental results suggested that 1500C was considered as the optimal thermal treatment temperature, with the water absorption of 107%, open porosity of 91%, and bulk density of 0.67g·cm3. The higher thermal treatment temperatures would cause alumina powders to clump and agglomerate.

<p>3D printing, also known under the term additive manufacturing, is a technology that allows the creation of complex and highly detailed objects using a digital model and a number of materials, such as plastics, metals, and ceramics. 4D printing is an expansion of 3D printing that incorporates time, meaning that the material used in 3D printing can change shape or properties over time. This technology is becoming increasingly important in the context of Industry 4.0, characterized by the Integration of cutting-edge technologies, including artificial intelligence, the internet of things, and advanced robotics into manufacturing processes. In Industry 4.0, 3D and 4D printing is being used to create customized products, improve supply chain efficiency and reduce costs and lead times. Additionally, 3D and 4D printing is also being utilized in sectors like aerospace, regenerative medicine and dental, and automotive to create complex geometries and parts that would be challenging or impossible to create using conventional production techniques. Furthermore, 4D printing opens up new opportunities in emerging, novel, sectors where the ability to create materials that adapt and change over time can be highly beneficial.</p>

The management of software development for single and dual processor system designs is making progress towards becoming a mature discipline. A good part of the progress can be attributed to the development and use of standard system and software engineering methods and design principles.However, new computer system designs (networking, distributed systems, embedded systems, multi- and coprocessors, fault tolerant systems, etc.) will create new challenges for managers of software development. The reason for this effect on management is that some of the system and software engineering methods and design principles developed for single and dual processor system designs are not valid for these newer designs.Some of the issues that software development project managers will need to cope with are:1. Life cycle model adjustments2. Rapid prototyping activities3. Different hardware and software phasing4. Increased tool development5. New trade-offs and hybrid developments of off-the-shelf software and newly developed software6. Development of concurrent design principles7. New software design principles to support fault tolerance and the use of new memory technologiesThe above items are just now being recognized as problems, and solutions for them either do not exist, or are not widely known.These problems create a series of new challenges that managers must deal with for software development based on the new architectures and requirements. The purposes of this paper are to discuss these issues and to identify some solutions that can serve in the interim as the technology changes to meet these new challenges.

Patterns, frameworks, meta‐models: the utility of these tools for many systems architects and engineers is to avoid “heavy lifting”. Others will say that they use meta‐models to keep from “reinventing wheels.” Builders and structural engineers have utilized patterns, frameworks and meta‐models which include building codes and construction standards for thousands of years. In the realm of defense systems engineering, the “Mystical Land of DoDAF,” systems engineers have been slow to realize the full potential of meta‐ model applications. Instead, functional analysis teams performing work prescribed by the Joint Capabilities Integration and Development System (JCIDS) end up doing that “heavy lifting” in the course of developing JCIDS functional area, needs and solutions analyses. Analysis teams performing JCIDS Functional Area Analysis (FAA) assess hundreds of activities listed in the Universal Joint Task List (UJTL) for relevance to their functional domain. This paper does not intend to discount the importance of the review of the tasks and activities required in the FAA, yet it is highly desirable to utilize the precedent foundations provided by those functional area analysts who blazed the trail for predecessor systems currently operating within their operational domain. A systems engineering meta‐model provides such a foundation for a living engineering model from operational needs analysis through production and deployment. The framework described below, the “Big Navy” Meta‐model, is an example of one pattern that can be applied to facilitate the development of complex defense‐related systems. Systems models derived from Big Navy can be further refined over its life cycle to include requirements capture, functional analysis, architecture development, concept and engineering design and design validation which includes modeling and simulation.

Every industry need helps to modify its working style quickly with the improvement of existing technology. New developing technologies improve production speed, reduce industrial process costs, etc. Technical specialists carry out continuous research and development to increase efficiency. A significant advance in 4D printing over 3D Printing is its capacity to alter shape over time because external elements such as pressure, air, heat, water, etc., use controlled impact. 4D Printing has one “D" instead of 3D Printing, and the fourth aspect is time. Therefore, its capacity to alter shape over time is a significant advancement of 4D printing over 3D printing technologies. It is evident that 4D printing will be of tremendous value to manufacturers regarding features and advances in dentistry. Its applications cover medical modelling, surgical guides manufacture, prosthodontics, dentistry, orthodontics, implantology, and dentistry instruments. This paper is brief about 4D printing and its printing of smart materials through 4D printing. Process workflow and Bio-Oriented 4D printable smart materials for dentistry are presented diagrammatically. Further, the paper identifies and discusses the significant potential of 4D printing for dentistry. 4D printing is an innovative technology that uses the inputs from smart materials, and the 3D printed item becomes another structure via the impact of external energy sources such as temperature, light, or other environmental stimuli. The objective is to integrate technology and design to create self-assembly and programmable material technologies that better design, production, and performance.

Integrating Core Systems Engineering Design Concepts into Traditional Engineering DisciplinesIn this study we describe the integration of core systems engineering design concepts intotraditional mechanical and electrical engineering curriculum at the University of Arkansas atLittle Rock (UALR) undergraduate Systems Engineering program. The program was launched in1999 in response to the industry demands for engineering graduates capable of managingcomplex engineering projects. The program has since graduated over 150 students who areworking in industry (aerospace, defense, manufacturing, design, and consulting), federal andstate government, or attending graduate school. The program curriculum has four broadcomponents: a 35 hour university core that covers basic math and science (11 hours) and generaleducation (24 hours); a 30 hour college core that enhances the math and science preparation witha course in engineering ethics; a 32 systems engineering component that introduces core systemsengineering concepts; and, a 32 hour option component that teaches the mechanical or electricalengineering disciplines. The program is accredited by ABET under general criteria, and plans areunderway to satisfy mechanical and electrical engineering program criteria. Students entering theprogram are introduced to systems engineering core concepts through courses in EngineeringEconomy, DES Modeling and Simulation, Optimization Methods, Decision and Risk Analysis,and Systems Engineering Design and Analysis. Among them, Engineering Economy coversengineering project evaluation and economic decision making. Optimization Methods in SystemsEngineering covers linear and nonlinear methods of engineering design optimization. DESModeling and Simulation covers theory and practice of discrete event simulation modeling.Decision and Risk Analysis covers uncertainty modeling and analytical techniques for rationaldecision making. Systems Engineering Design and Analysis covers the systems engineering life-cycle process, including identification of system requirements, engineering design andarchitecture, system modeling, testing and integration, and system operation and support. The128-hr program culminates in a two-semester Systems Engineering Capstone Design thatemphasizes the multi-disciplinary nature of the program. The students perform functional designin the first semester followed by detailed physical design and testing in the second semester. TheUALR program graduates skilled systems engineers who combine holistic thinking with deepproduct knowledge, strong technical background, effective communication skills, and goodinterpersonal skills.