Development Of Additive Technologies Research Articles

СПОСОБ ОЦЕНКИ СОСТОЯНИЯ ПОДРАЗДЕЛЕНИЙ РАЗРАБОТКИ ЭКСТРУЗИОННЫХ 3D-ПРИНТЕРОВ

Many companies recognize the need to innovate their product portfolio. The use of traditional methods and approaches to assessing the activities of an enterprise does not allow to identify the contribution of innovative departments to the overall result of the company.The purpose of the study is to develop a method for evaluating individual units involved in the development of new products. The paper identifies key assessment parameters that contribute to the consideration of three key groups of indicators: general characteristics of the innovative activity of departments, the effectiveness of working with new products and the achievement of the goals of the company's functioning. Specific parameters for each group of indicators are proposed, which makes it possible to evaluate the effectiveness of the development organizational structure. Based on the proposed metrics, an integral assessment was obtained and the procedure for its calculation was determined. In accordance with the strategy and priorities of the development of the enterprise, it is possible to determine weighting factors for each component and individual indicators. To adjust the activities of departments to achieve the goals set, the procedure for searching for control action is determined. Two control problems are considered with a sufficient amount of resources and their limitations. In the first case, the department has the opportunity to complete all the planned tasks with the available resources, respectively, the task becomes an optimization one with the search for the most effective way of implementation at the intersection of the sets of planned tasks and possible results. In the second case, it is required to ensure the minimum deviation at each point at the minimum step due to the distribution and use of resources. The possibility of using the developed method to dynamically assess changes in the efficiency of individual organizational structures is demonstrated using the example of three divisions of LLC "Kompaniya IMPRINTA" involved in the development of additive equipment and technologies, including extrusion 3D printers, materials and software. Based on the analysis of the dynamics of changes in the integral assessment of the divisions of LLC "Kompaniya IMPRINTA", the problems of their functioning were identified and directions for improving the efficiency of divisions were identified, such as the development of aemployee motivation system to increase the number of proposed development ideas by the product marketing department and the development of measures to reduce the share of work performed by the department operation of the product with the involvement of third-party companies.

Development of Additive Manufacturing Technology and Industry in China

As an emerging manufacturing technology, additive manufacturing (AM) has become one of the fastest developing technologies in the advanced manufacturing field with the continuous expansion of its applications. The development of AM industry provides a valuable opportunity for the development of modern manufacturing and the transformation and upgrading of traditional manufacturing. In this paper, developmental trends of the AM technology and industry in China and abroad are systematically summarized, and problems faced by China’s AM industry are analyzed, including inadequate research and development capabilities regarding common technologies and basic devices, lack of effective patent layout for the international market, and insufficient development of industrial scale and clusters. Focusing on a prospective layout of the AM industry, key development directions are proposed, including AM for biomedicine and medical devices, large-scale complex components, space, structural innovation, and new materials. Furthermore, several suggestions are put forward. First, an AM collaborative innovation mechanism should be established to support application innovation of enterprises. Second, special research plans on AM process reforms should be implemented to satisfy the demand for major high-end equipment. Third, the construction of regional AM industrial clusters should be promoted.

Application of Polymer Materials and Additive Technologies in Electrical Equipment of the Agro-Industrial Complex

Additive polymer technologies are widely used in the agro-industrial complex. Modeling by the method of layer-by-layer deposition is in demand today. The most popular polymer materials for FDM (Fused Deposition Modeling) / FFF (Fused Filament Fabrication) printing are acrylonitrile butadiene styrene, polycarbonate, polymethylmethacrylate, polyamide PA-6 and polymer composites based on them. (Research purpose) The research purpose is in studying the prospects of using additive polymer technologies in agriculture, taking real cases as a basis. (Materials and methods). The article presents the analyze of open information sources. Author used methods of collecting, studying and comparative analysis of information, considered real cases carried out with the use of the material and technical base of the FNAC VIM. (Results and discussion) The domestic market of polymer materials and composites based on them for 3D printing using FDM/FFF technology is not as diverse as similar for traditional methods of processing plastics and composite materials (injection molding, extrusion, pressing and others). The reason for this is the lack of knowledge of 3D printing technologies, in particular, FDM/FFF technology, as a method of plastics processing. The main factor in the development of additive polymer technologies in the agro- industrial complex is the growing demand for the use of 3D printing. The article proves the effectiveness of the application with real cases made as a result of the close work of several research laboratories of FNAC VIM. (Conclusions) Additive manufacturing has great potential for further development, including within the agro-industrial complex. FDM/FFF technology and additive polymer technologies in general perfectly complement traditional production technologies.

Synthesis of Ni – Ti alloy from Elemental Powders by Direct Laser Deposition

The paper investigates current trends in the development of advanced additive manufacturing technology — laser cladding or direct laser deposition (DLD). This technology for the manufacture of metal parts is less known than selective laser melting (SLM) due to its low accuracy, but it has great opportunities for the manufacture of large single parts from functional alloys. The paper analyzes the prospects and economic efficiency of the DLD modification, which consists of the synthesis of an alloy with the simultaneous building of a product from elemental powders. The synthesis of the alloy is carried out using the example of the Ni – Ti system. The economic assessment of the cost of the initial components shows the average cost of raw materials for this alloy at 200 $/kg at the cost of an alloyed alloy from 250 $/kg. An experiment of building a thin-walled and multilayer sample of an equiatomic alloy from a 55Ni — 45Ti mechanical powder mixture in a protective chamber is presented in the practical part of the work. It is shown that the presence of a protective chamber for this alloy significantly affects the chemical composition and distribution of elements within the track but is not a prerequisite for the shaping of the part. The grown thin-walled bushing showed an excess of titanium in its composition relative to the initial mixture. On the other hand, the multilayer sample in the form of a cylinder was very close to the original composition with an accuracy of one hundredth of Ni and Ti (in mass %). The results showed that this method is promising for alloy formation and the simultaneous building of a functional material requiring high precision in chemical composition. This research was funded through a grant by the Russian Science Foundation; Project No. 19-79-30002.

Environmental Impact for 3D Bone Tissue Engineering Scaffolds Life Cycle: An Assessment

With the development of additive manufacturing technology, 3D bone tissue engineering scaffolds have evolved. Bone tissue engineering is one of the techniques for repairing bone abnormalities caused by a variety of circumstances, such as injuries or the need to support damaged sections. Many bits of research have gone towards developing 3D bone tissue engineering scaffolds all across the world. The assessment of the environmental impact, on the other hand, has received less attention. As a result, the focus of this study is on developing a life cycle assessment (LCA) model for 3D bone tissue engineering scaffolds and evaluating potential environmental impacts. One of the methodologies to evaluating a complete environmental impact assessment is life cycle assessment (LCA). The cradle-to-grave method will be used in this study, and GaBi software was used to create the analysis for this study. Previous research on 3D bone tissue engineering fabrication employing poly(ethylene glycol) diacrylate (PEGDA) soaked in dimethyl sulfoxide (DMSO), and diphenyl (2,4,6-trimethylbenzoyl) phosphine oxide (TPO) as a photoinitiator will be reviewed. Meanwhile, digital light processing (DLP) 3D printing is employed as the production technique. The GaBi program and the LCA model developed to highlight the potential environmental impact. This study shows how the input and output of LCA of 3D bone tissue engineering scaffolds might contribute to environmental issues such as air, freshwater, saltwater, and industrial soil emissions. The emission contributing to potential environmental impacts comes from life cycle input, electricity and transportation consumption, manufacturing process, and material resources. The results from this research can be used as an indicator for the researcher to take the impact of the development of 3D bone tissue engineering on the environment seriously.

A Numerical Study on 3D Printed Cementitious Composites Mixes Subjected to Axial Compression

Aptly enabled by recent developments in additive manufacturing technology, the concept of functionally grading some cementitious composites to improve structural compression forms is warranted. In this work, existing concrete models available in Abaqus Finite Element (FE) packages are utilized to simulate the performance of some cementitious composites numerically and apply them to functional grading using the multi-layer approach. If yielding good agreement with the experimental results, two-layer and three-layer models case combinations are developed to study the role of layer position and volume. The optimal and sub-optimal performance of the multi-layer concrete configurations based on compressive strength and sustained strains are assessed. The results of the models suggest that layer volume and position influence the performance of multi-layer concrete. It is observed that when there exists a substantial difference in material strengths between the concrete mixes that make up the various layers of a functionally graded structure, the influence of position and of material volume are significant in a two-layer configuration. In contrast, in a three-layer configuration, layer position is of minimal effect, and volume has a significant effect only if two of the three layers are made from the same material. Thus, a multilayered design approach to compression structures can significantly improve strength and strain performance. Finally, application scenarios on some structural compression forms are shown, and their future trajectory is discussed.

Additive Manufacturing Technologies and Its Future in Industrial Applications

Additive manufacturing technologies have developed rapidly in the last ten years and have become a technology with significant advantages compared to traditional manufacturing. Depending on discovering new materials and techniques, additive manufacturing technologies also develop and become more economical and sustainable technology. The widespread use of this technology in industrial areas has accelerated development and contributed to increased product quality. However, to ensure the development and continuity of this technology, it is necessary to reduce the production costs, increase the quality and accelerate the production processes. These processes also trigger competition and accelerate the development of technology. The areas that additive manufacturing technologies are mostly applied can be grouped as aerospace, biomedical, smart technologies, and other industrial applications. The fact that these areas are popular research areas also accelerates the development of additive manufacturing technologies. In this review, additive manufacturing technologies frompast to present, advantages and disadvantages of these technologies, aspects that need to be developed, and industrial applications are examined and explained. When the studies on additive manufacturing technologies and industrial applications are examined, it is seen that this technology has a wide usage area. With the use of additive manufacturing technologies, previously encountered in prototypes and special applications, in automotive, biomedical, and smart technologies, it is seen that they have begunto take place more in people's daily lives.

Cruciate-Ligament-Inspired Compliant Joints: Application to 3D-Printed Continuum Surgical Robots.

The rapid development of additive manufacturing technology makes it possible to fabricate a patient-specific surgical robot in a short time. To simplify the assembly process of the printed robotic system, compliant-joint-based monolithic structures are often used as substitutes for rigid-link mechanisms to realize flexible bending. In this paper, we introduce a cruciate-ligament-inspired compliant joint (CLCJ) to improve the bending stability of the 3D-printed continuum surgical robots. The basic structure of the tendon-driven CLCJ mechanism and its kinematic model were described in detail. The bending performance of CLCJ was also successfully evaluated by FEM simulation and experimental tests. Besides, a prototype of CLCJ-based surgical robotic system was presented to demonstrate its application in 3D-printed continuum surgical robots.

Fatigue life prediction model and entropy generation of 304L stainless steel fabricated by selective laser melting

Fatigue performance and reliability application have always been the key issues restricting the development of disruptive additive manufacturing technology due to intrinsic defects caused by the manufacturing process. In the present work, tensile tests and fatigue tests of 304 L stainless steel (SS) fabricated by selective laser melting (SLM) with various laser power levels were carried out with in-situ monitoring of acoustic emission (AE) and thermal imager (TI). Microstructural characterizations were performed to measure the surface roughness, porosity, and residual stress of as-built SLMed 304 L SS. A fatigue life prediction model considering surface roughness, porosity, and residual stress was established based on experimental data. In addition, direct evidence is offered to show the strong correspondence between the temperature variable of material surface induced by energy dissipation caused by entropy generation during cyclic deformation and the degradation of material properties caused by fatigue micro-damage. This work indeed provides a novel fatigue life prediction model for SLMed 304 L SS, and advances our current understanding of underlying fatigue micro-damage mechanism of additively manufactured materials.

Custom Made Implant in Revision Knee Arthroplasty with AORI 3 Bone Defect: а Case Report

Background. Replacement of extensive bone defects during revision knee arthroplasty (RKA) is a certain problem. The development of additive technologies allows us to produce an individual titanium augment to restore the lost bone tissue. The aim of the study is to show the possibility of replacing extensive tibia defects with an custom made augment during revision knee artroplasty. Case presentation. The patient is 66 years old. At the age of 58, due to secondary knee osteoarthritis in 2 years interval, the patient underwent total knee arthroplasty: left in 2012, right in 2014. Subsequently, several revision interventions were required for early periprosthetic infection of the right knee joint. From 2015 to 2018, due to the infection remission, the function of the right knee joint was satisfactory. In 2018, the patient admitted to our clinic with the periprosthetic infection relapse. Due to the previous treatment, the patient had type 3 bone defect according to the AORI classification. A two-stage revision knee arthroplasty was performed. To compensate the extensive tibial defect, the individual tibial implant was manufactured using additive technologies, and a semiconstrained endoprosthesis was implanted. There was no relapse of infection during the observation. There is deficit of active extension, there are no radiological signs of the implant instability. Conclusion. In our case, we were able to achieve satisfactory results in patient with a complex anamnesis and extensive bone defects. The use of individual implant helped to avoid arthrodesis, preserve the weight-bearing of the lower limb and articulation in the knee joint. The use of implants made using 3D technologies is a promising solution for compensating defects of types 2B and 3 according to the AORI classification.

Big data in agriculture: Between opportunity and solution

CONTEXTBig data applications in agriculture evolve fast, as more experience, applications, good practices and computational power become available. Actual solutions to real-life problems are scarce. What characterizes the adoption of big data problems to solutions and to what extent is there a match between them? OBJECTIVEWe aim to assess the conditions of the adoption of big data technologies in agricultural applications, based on the investigation of twelve real-life practical use cases in the precision agriculture and livestock domain. METHODSWe use a mixed method approach: a case study research around the twelve use cases of Horizon 2020 project CYBELE, varying from precision arable and livestock farming to fishing and food security, and a stakeholder survey (n = 56). Our analysis focuses on four perspectives: (1) the drivers of change that initiated the use cases; (2) the big data characteristics of the problem; (3) the technological maturity level of the solution both at start and end of the project; (4) the stakeholder perspective. RESULTS AND CONCLUSIONSResults show that the use cases’ drivers of change are a combination of data-, technology, research- and commercial interests; most have at least a research drive. The big data characteristics (volume, velocity, variety, veracity) are well-represented, with most emphasis on velocity and variety. Technology readiness levels show that the majority of use cases started at experimental or lab environment stage and aims at a technical maturity of real-world small-scale deployment. Stakeholders’ main concern is cost, user friendliness and to embed the solution within their current work practice.The adoption of better-matching big data solutions is modest. Big data solutions do not work out-of-the-box when changing application domains. Additional technology development is needed for addressing the idiosyncrasies of agricultural applications. SIGNIFICANCEWe add a practical, empirical assessment of the current status of big data problems and solutions to the existing body of mainly theoretical knowledge. We considered the CYBELE research project as our laboratory for this. Our strength is that we interviewed the use case representatives in person, and that we included the stakeholders’ perspective in our results.Large-scale deployments need effective interdisciplinary approaches and long-term project horizons to address issues emerging from big data characteristics, and to avoid compartmentalization of agricultural sciences.We need both an engineering perspective – to make things work in practice – and a systems thinking perspective – to offer holistic, integrated solutions.

Structural Design Method for Constructions: Simulation, Manufacturing and Experiment

The development of additive manufacturing technology leads to new concepts for design implants and prostheses. The necessity of such approaches is fueled by patient-oriented medicine. Such a concept involves a new way of understanding material and includes complex structural geometry, lattice constructions, and metamaterials. This leads to new design concepts. In the article, the structural design method is presented. The general approach is based on the separation of the micro- and macro-mechanical parameters. For this purpose, the investigated region as a complex of the basic cells was considered. Each basic cell can be described by a parameters vector. An initializing vector was introduced to control the changes in the parameters vector. Changing the parameters vector according to the stress-strain state and the initializing vector leads to changes in the basic cells and consequently to changes in the microarchitecture. A medium with a spheroidal pore was considered as a basic cell. Porosity and ellipticity were used for the parameters vector. The initializing vector was initialized and depended on maximum von Mises stress. A sample was designed according to the proposed method. Then, solid and structurally designed samples were produced by additive manufacturing technology. The samples were scanned by computer tomography and then tested by structural loads. The results and analyses were presented.

Multi-scale analysis for 3D printed continuous fiber reinforced thermoplastic composites

With the development of additive manufacturing technology, the designing and fabrication of continuous fiber reinforced thermoplastic composites (CFRTPCs) are concerned and studied more extensively. In this paper, both melting-deposition-cooling manufacturing process and the mechanical properties of 3D printed CFRTPCs are simulated. First, theoretical and numerical models of the 3D printing process for CFRTPCs are proposed, which take the resin infiltration, temperature changes and resin curing into account. Second, influences of the stacking method, the aspect ratio of the oval bead, the width and height between beads on resin infiltration and density of 3D printed CFRTPCs are analyzed. Finally, the mechanical properties of 3D printed CFRTPCs are predicted using multi-scale simulation methods. This work provides the simulation method and theoretical basis for the design and evaluation of 3D printed CFRTPCs.

Сomposite binders for 3d additive technologies

Introduction. In recent years, there has been an active development of 3D additive technologies. This trend could not but affect the construction industry. However, printing using plastics and other organic compounds differs significantly in its technological features from printing with building compounds. Concrete and mortars used in layer-by-layer printing must have a number of technological properties, such as sufficient viscosity for extrusion by an extruder, low mobility to maintain geometry after laying, high setting speed and strength after hardening. Currently, there are a number of compositions that meet these requirements, however, they, as a rule, are not distinguished by high strength and require a wide raw material base, which may not be available in field printing conditions. As a result, it is necessary to expand the range of building materials for 3D printing, suitable for the above criteria, as well as satisfying economic indicators.Materials and methods. Research has been carried out using physical and mechanical tests, X-ray phase analysis and electron microscopy on the effect of finely ground mineral additives on the microstructure and hardening processes of composite binders with various dosages of functional additives.Results. The results of studies on the production of composite binders for 3D additive technologies using Portland cement and man-made waste - waste of wet magnetic separation of the Stary Oskol electrometallurgical plant, modified with additives accelerators (Technonikol Master) and plasticizers (Polyplast PK-R) using mathematical planning and construction of mathematical models for composite binders with different hardening times are pesented.Conclusion. The efficiency of using the obtained composite binder has been proven, the use of which provides an increase in rheological properties, and also makes it possible to save expensive portland cement.

Modification of the Stamp Topological Optimization Taking into Account Cyclic Fatigue based on the Finite Element Approach

The study is devoted to optimizing the volume of stamping tools used in pressure processing processes. The relevance of the research is due to the active development of additive technologies and the possibility of producing stamping tools from plastic of optimal shape, which has an important practical significance in the manufacture of thin-walled products in the aviation and automotive industries. The purpose of the study was to carry out a mathematical formulation of the problem of topological optimization of a forming die made of a polymer material with restrictions on fatigue durability and minimum volume. The task of topological optimization was to maximize the stiffness of the die under multicyclic loading. The vector description of topological optimization was based on the finite element approach. The optimization model was built on the basis of the solid isotropic material penalization method with the introduction of additional restrictions in the model of searching for pseudo-densities of the material, taking into account the duration of the force action on the stamp under multicyclic loading. In view of the nonlinearity of the resulting system of equations, the solution of the conditional optimization problem is proposed to be carried out by constructing the Lagrange objective function and using the Lagrange multiplier method. The result of the study is the proposed approach to the topological optimization of the stamp, taking into account the multicyclic loading and restrictions on the desired volume.

An Overview of Computational Models for Industrial Internet of Things to Enhance Usability

In the last decade, the Internet of Things (IoT) has grown to connect a large number of smart entities, devices, and components. These connected entities provide a wide range of services to improve the current society of end customers. The Industrial Internet of Things (IIoTs) are revolutionary systems that have linked manufacturing processes with Internet access in order to preciously increase quality of services. These systems have minimized the costs of production through collaboration with electronic objects, accumulating computing, advanced analytics, and smart perception techniques. A demanding analysis of the strengths and limitations of computational models of IIoT is an essential part of the industry and before deciding which approach to use and implement for enhancing usability. Therefore, the goal of this study is to provide feedback and information to the research community and identify patterns in recommendations for future research in the context of process, development, and monitoring of additional technologies of computational models for IIoT. This paper has presented a comprehensive summary of the existing literature on IIoT for providing details about modern industrial revolutions in the context of IIoT. Associated materials were searched and filtered for identification of relevant materials to the proposed study. These materials have been collectively studied with in-depth analysis and then summarized to condense the information of computation models for the readers as well as entrepreneurs. The study will facilitate research community and practitioners to develop novel techniques, algorithms, and tools to automate and facilitate IIoT. This will develop the field of IIoT and will enhance its usability.

Compression Experiment and Failure Analysis of Additive Manufactured Multi-Layer Lattice Sandwich Structure

The rapid development of additive manufacturing technology provides a new opportunity for the fabrication and research of multi-layer lattice sandwich structures, and thereby some excellent performances can be further discovered. Based on the manufacturing-experiment-analysis technical route, the failure mode of the additive manufactured aluminum multi-layer alloy lattice sandwich structure under quasi-static compression is systematically studied in this paper. Through the combination of experimental observation and finite element analysis, the complex failure mechanism of the multi-layer lattice sandwich structure is revealed. The results show that the multi-layer lattice sandwich structure under quasi-static compression conditions mainly manifests as a layer-by-layer failure mode of the internal lattice structure, which includes the yield, plastic buckling and material damage. At the same time, in comparison with the force–displacement curve and the structural deformation in the key locations, the analysis accuracy of the finite element model can be verified by the compression experiment. Based on the verified finite element model, the most significant influence of different face panel thicknesses, as well the rod radiuses and tilting angles on the energy absorption (EA) is identified via sensitivity analysis. Furthermore, size factors on the structural EA are revealed. This study can provide a helpful guidance for the design of multi-layer lattice sandwich structures in practical applications.

Diagnostic prediction of ovine fracture healing outcomes via a novel multi-location direct electromagnetic coupling antenna.

BackgroundExpedient prediction of adverse bone fracture healing (delayed- or non-union) is necessary to advise secondary treatments for improving healing outcome to minimize patient suffering. Radiographic imaging, the current standard diagnostic, remains largely ineffective at predicting nonunions during the early stages of fracture healing resulting in mean nonunion diagnosis times exceeding six months. Thus, there remains a clinical deficit necessitating improved diagnostic techniques. It was hypothesized that adverse fracture healing expresses impaired biological progression at the fracture site, thus resulting in reduced temporal progression of fracture site stiffness which may be quantified prior to the appearance of radiographic indicators of fracture healing (i.e., calcified tissue).MethodsA novel multi-location direct electromagnetic coupling antenna was developed to diagnose relative changes in the stiffness of fractures treated by metallic orthopaedic hardware. The efficacy of this diagnostic was evaluated during fracture healing simulated by progressive destabilization of cadaveric ovine metatarsals treated by locking plate fixation (n=8). An ovine in vivo comparative fracture study (n=8) was then utilized to better characterize the performance of the developed diagnostic in a clinically translatable setting. In vivo measurements using the developed diagnostic were compared to weekly radiographic images and postmortem biomechanical, histological, and micro computed tomography analyses.ResultsFor all cadaveric samples, the novel direct electromagnetic coupling antenna displayed significant differences at the fracture site (P<0.05) when measuring a fully fractured sample versus partially intact and fully intact fracture states. In subsequent in vivo fracture models, this technology detected significant differences (P<0.001) in fractures trending towards delayed healing during the first 30 days post-fracture.ConclusionsThis technology, relative to traditional X-ray imaging, exhibits potential to greatly expedite clinical diagnosis of fracture nonunion, thus warranting additional technological development.

Development of 3D Printing Technology with Ceramic Paste and Study of Properties of Printed Corundum Products

Today 3D printing with ceramics is a promising direction in the development of additive technologies. In this work, we have developed a technology for printing with ceramic pastes based on aluminum oxide and wax, namely: an extruder for printing with ceramic pastes was modeled and manufactured, the composition of the slip was selected and the paste for printing was made. After choosing the print parameters, test samples were printed: a disk and a box. Since 3D printing with ceramics is just one of the stages of manufacturing ceramic products, then we selected the parameters for drying and sintering the raw material. Drying of products is necessary to burn off an excess amount of a binder (paraffin), and due to sintering; the raw material acquires final strength and mechanical characteristics. After sintering, the sintering parameters and physical and mechanical properties of the products were measured. The microstructure of the printed products was studied using scanning electron microscopy. The phase change during sintering was studied by X-ray analysis. All obtained properties were compared with a reference sample (corundum tile made of aluminum oxide of the same grade, but using traditional ceramic technology, including pressing, drying and sintering of the product). In terms of all properties, the printed ceramics are not significantly inferior to the reference sample; however, in general, the additive technology has more advantages, such as a wide variety of shapes, shorter manufacturing time for parts, and lower energy costs.

Additively manufactured mechanical metamaterials based on triply periodic minimal surfaces: Performance, challenges, and application

Lattice structures with architecture based on triply periodic minimal surfaces (TPMS) have recently attracted much attention due to their mathematically controlled topologies, which give rise to predefined and fascinating mechanical properties. Such materials with topology-dependent properties are generally known as “metamaterials.” The research on the TPMS-based metamaterials was restricted to theoretical knowledge until the recent development of additive manufacturing technology (AM). Herein, the design, properties, challenges, and applications, of TPMS-based mechanical metamaterials are reviewed. This review provides the researcher with a collective resource of numerical and experimental data for the AM of TPMS-based structures.