Manufacturing Tools Research Articles

It's not just a phase: shaping the future of 3D photoprinted polymers with polymerization‐induced phase separation

AbstractAdditive manufacturing is a technology that promises to disrupt the conventional manufacturing industry due to its ability to create complex structures with improved macroscopic control not available with existing techniques like molding or milling. In addition to superior macroscopic structural control, photoprinting methods such as digital light projection can enable molecular‐scale control over the fabrication process by taking advantage of the self‐sorting or assembly properties of the monomers themselves. Polymerization‐induced phase separation (PIPS) allows for the remarkable introduction of microscopic control into additive manufacturing, using polymer‐rich and polymer‐poor regions that rely on incompatibilities to phase separate during polymerization creating new complex materials not achieved by traditional methods. With the incorporation of porogens or filler materials, microporosity and/or surface functionalization can be introduced in a facile one‐step printing process. This expands the potential applications of 3D printed materials, to include micro‐ and macroscale structural control. Using PIPS as a design strategy, polymeric materials with previously unprecedented capabilities can be produced with ease enabling 3D printing to grow into its full potential as a manufacturing tool. © 2024 Society of Chemical Industry.

Probabilistic Modeling Geometric Tolerance and Low Cycle Fatigue Life of Gas Turbine Compressor Blade

Abstract This paper presents a probabilistic low cycle fatigue (LCF) assessment for geometric tolerances on high load contact surfaces of gas turbine compressor blades. The typical patterns of the geometric deviations for the root contact flank of the compressor blades are identified and characterized according to coordinate measurement machine (CMM) measurements of the blade root. These typical patterns are closely related to the root form manufacture tools and process. Finite element (FE) models for the typical geometric deviation patterns are created based on nodal coordinates transformation of the surface nodes on the blade root contact flanks and radius. An optimized blade root profile tolerance is established, which enables significant cost saving. The elastic-plastic FE analysis with nonlinear contact model, material strain-life test, response surface, and constrained Monte Carlo simulation are used to create a probabilistic LCF life model for the optimized tolerance. The model quantifies the effect of the geometric deviations, blade mass, and material property on the blade LCF life. The result shows that with the optimized tolerance, the probability of blade LCF failure is very low and acceptable. It is also shown that the strain life material property is the most critical factor for the LCF failure. The root profile tolerance and blade mass are seen to have a much weaker effect on the blade LCF life.

Interlayer-free laser coating of AISI H11 tool steel for H11/Cu composite material

Copper-based materials in combination with steels are of great interest for various applications in industry, such as tool manufacture, due to their high thermal conductivity. Additive manufacturing (AM) is beneficial for both tailored part geometry and customized material design. With laser-based AM, the copper-steel interface is highly prone to cracking. This study investigates a strategy of laser coating AISI H11 tool steel for a composite material consisting of AISI H11 tool steel and copper (H11/Cu) without using Ni-based interlayers. As an austenite stabilizing element, Ni dilution in H11 could lead to soft retained austenite, impeding wear resistance. The approach in this work employed presintering of tool steel powder to generate a porous H11 preform. Laser-based directed energy deposition (DED-LB/M) was used for coating H11 tool steel on the porous H11 preform followed by copper infiltration of the preform. The investigation of the effects of the main processing parameters: laser power, feed rate, and powder mass flow on the weld track geometry, clearly revealed different mechanisms when coating the porous preform compared to the conventional substrate. Defects at the coating/substrate interface such as cold crack formation were successfully avoided by adjusting the process parameters and process sequence. The developed processing strategy may in the future combine material extrusion of metals (MEX/M) and DED-LB/M to allow for intricate preform geometries and to generate H11 coatings on H11/Cu, respectively.

Enhancing Economic, Resilient, and Sustainable Outcomes Through Supplier Selection and Order Allocation in the Food Manufacturing Industry: A Hybrid Delphi-FAHP-FMOP Method

In the food manufacturing industry, which is critical to national economies, there is a growing imperative to meet heightened safety, quality, and environmental standards, particularly in the face of supply chain disruptions. This study addresses the gap in literature by integrating sustainable and resilient supply chain theories with risk management and low-carbon principles into a supplier selection framework. Utilizing the Delphi method, fuzzy analytic hierarchy process (FAHP), and fuzzy multi-objective programming (FMOP), we develop a decision-making model specifically calibrated for the food sector. Initially, the study establishes a comprehensive criteria system encompassing quality, cost, delivery, low-carbon, and risk management through a literature review and expert consultation. Subsequently, FAHP is employed to determine the relative importance of each criterion in supplier selection. Furthermore, FMOP is utilized to develop a decision-making model for optimizing supplier selection and order allocation. Validated through a numerical study based on a Chinese food manufacturer, the framework presents a practical tool for food manufacturers, ensuring supply chain stability while aligning with sustainability objectives. This research refines decision making and strengthens the competitive stance of food manufacturers, significantly propelling the industry’s green transformation.

Retention and interfacial failure mechanism of single diamond grains in resin-bonded grinding tools

Abrasive grains and the associated bonding agent are the two significant components in the manufacturing of fixed abrasive machining tools. The material properties and interfacial bonding behavior between the grains and the bonding matrix determine machining performance. In precision machining processes with diamond abrasives, the primary failure modes of fixed abrasive tools are grain dislodgement and premature loss, leading to abrupt change in machining load and ultimately causing inaccurate and inefficient machining performance. This study develops a comprehensive model for understanding abrasive grain retention and interfacial failure mechanisms in resin-bonded diamond tools. Finite element analysis of a single diamond grain embedded in a resin matrix was conducted to examine the influence of the grain shape, protruding height, and orientation angle on critical interfacial failure force. A series of single diamond scratching experiments validated the model, revealing that the maximum retention force reached 43.56 N for grains with a 0.9 mm protruding height and a 60° orientation angle. The results also show that, within a specific grain size range, grain shape—quantified by the sphere deviation coefficient proposed in this paper, has the greatest impact on retention and failure behavior. Protruding height plays a secondary role, while the contribution of orientation angle is minimal. These findings provide valuable insights for the design, manufacture, and optimization of precision abrasive machining tools, particularly for applications requiring high precision and reliability.

Methodology of Multiple-Criteria Decision Making for Selecting a Refrigerant to Be Used in Commercial Refrigeration Equipment

This paper presents the application of the multiple-criteria decision-making (SAW) method for selecting the optimum refrigerant for the refrigeration systems of commercial cooling equipment used in gastronomy furniture, which is paramount in storing food under optimal conditions. The analysis focused on comparing different refrigerants, including natural refrigerants such as R744 (carbon dioxide) and R290 (propane) and synthetic refrigerants such as R455A, R449A, and R452A. As a result of the analysis using the SAW method, the refrigerant R455A was found to be the best solution. This choice resulted from the consideration of various decision criteria, such as energy efficiency, environmental impact, operating costs, and technology availability. R455A stands out as a synthetic refrigerant that provides high energy efficiency with minimal environmental impact. Its use supports sustainability goals by reducing greenhouse gas emissions and electricity consumption, which is crucial given the modern regulatory requirements and environmental standards. This study offers a practical decision-making tool for commercial refrigeration equipment designers and manufacturers, supporting them while selecting the optimal technological solutions. The choice of refrigerant R455A addresses the need to integrate energy efficiency, environmental protection, and cost-effectiveness in the process of designing modern refrigeration systems for catering furniture.

Development of a software solution to an applied mechanics problem based on numerical methods

The present work delves into the significance of material selection in the manufacturing of tools for milling operations and determines their suitability through a detailed analysis of strength and behavior during material processing. To enhance longevity and optimize production, the utilization of mathematical models and numerical methods, notably the least squares method and the solution of systems of linear algebraic equations (SLAE) employing the Gaussian elimination method with pivot selection, is proposed. These methods are applied for the approximation of experimental data and the analysis of material characteristics, ensuring precision in the evaluation of its properties. Situations where only partial data is known are investigated, along with simplifications in the computation of known functions. The study encompasses software for numerical computation and visualization of various problem types, effectively addressed through the aforementioned methods. The software algorithm for data approximation involves storing information in a text file, user input of variables, and selection of the quantity and type of basis functions. After the user inputs of parameters, the program formulates a system of equations based on selected functions, determines approximation coefficients, and generates a graph for an objective assessment of results. With a user-friendly interface, users can easily interact with the program, input values, and analyze results through graphical representation, streamlining the workflow and facilitating the comprehension of obtained data. The approximation of functions using numerical methods proves to be efficiently applicable in diverse fields for addressing applied mechanics problems.

Animal and Plant Wealth and its Impact on the Economy of Mesopotamia

1- The first period of human life in prehistoric times was known as the period of food gathering economy, as it depended on gathering wild plants and hunting animals, and made simple tools and machines from stones and animal bones that were used in hunting, and used tree leaves and animal skins to make clothes. As for the second period, the Neolithic era, it was known as the period of food production economy when he learned agriculture and domesticated animals. Agriculture was initially described as meeting the need and was cultivated in small areas and in one season. 2- When he learned the life of stability and lived in permanent villages, the oldest of which is the village of Jarmo, many tools were found made of flint, stone vessels, spoons and pottery. In addition, the village contained permanent houses and clay ovens for making bread, fireplaces, basins, stoves and clay dolls. 3- Domesticating animals, especially goats, sheep and pigs, benefiting from their meat, cheese, skins and fat to make oils, and domesticating dogs. 4- The most important crops that he cultivated were wheat and barley, and later in other areas he cultivated lentils, flax and legumes. 5- In the Stone Age, he learned fertilization and artificial irrigation. He cultivated large areas and had a surplus in production, which prompted him to make large-sized stores to store the surplus, noting that the stores had existed since the era of Hassouna, but they were small. He also learned trade and the barter system and the discovery of metals. Specialization in work and division of labor appeared, and other crafts and professions appeared. The pottery wheel, spinning and weaving discs, and seals were invented. 6- Wool and hair of sheep and goats and some plants such as flax were used to make clothes using spinning discs. 7- Many pottery vessels of different sizes and shapes were found, and they contained drawings, decorations, engravings, and colors of great precision, some of which were made by hand and others with a pottery wheel. Tools and machines were made of copper. 8- Moving to the south and the emergence of large cities, carrying out irrigation projects, and the emergence of the first systems of government. 9- A change and development occurred in the human mind, benefiting from the natural environment and the wealth it contains that could serve him as a result of the development of social , cultural and economic life. 10- Plant cultivation and domestication were coupled with animal husbandry and domestication, as both complement each other in terms of benefit. Because of them, other crafts and professions emerged, including the manufacture of tools and machines, pottery and weaving. Trade also flourished as a result of an increase in the surplus and the increase in labor. 11- Learning how to extract oils and methods of obtaining them from plants and animals which was of great importance because it had multiple uses, especially in cooking, and the demand for it increased in trade. 12- Plant and animal wealth played an important role in its prosperity and economic recovery, as it represented the backbone of the economy of Mesopotamia. 13- Our information about animals and plants came from cuneiform texts and seals that show scenes of hunting animals, scenes of grazing sheep, scenes of ears of wheat and plants, and from murals on the walls of palaces, scenes of barns designated for raising animals, scenes of relief and three-dimensional sculptures that show domesticated domesticated animals, and scenes of hunting predatory animals.

High temperature wear performance of in-situ forming textured Ni60/WC/h-BN composite coatings based on laser micro-cladding

In this study, electrohydrodynamic atomization technology and laser micro-cladding technology were used to design and prepare circular, square and bionic Nepenthe-shaped micro textures on the cemented carbide substrate. The mechanical properties of the prepared micro texture are significantly improved. The effects of different micro texture morphology on the tribological properties of the substrate in a wide temperature range were systematically studied. The results investigated that the bionic Nepenthe-shaped micro-texture showed the lowest friction coefficient at all temperatures, and when the temperature was 200 °C, the friction coefficient could be reduced to ∼0.14. The wear track analysis shows that the micro texture is the main way to reduce the friction coefficient at room temperature. When the temperature rises to 200 °C, the h-BN in the cladding layer will release at the friction interface to achieve the lubrication effect. When the temperature further increases, the cladding layer will soften and be smoothed, and the substrate will directly contact with counter ball, which will significantly increase the friction coefficient. By exploring the effect of micro texture morphology prepared by laser micro cladding technology on tribological properties, we can understand its applicability in different manufacturing tools.

Smart design and additive manufacturing of bending tools to improve production flexibility

For the automotive industry, especially on the part of Tier 1 and Tier 2 suppliers, the future will be about maintaining sovereignty in the form of technology openness and accelerating digitization. The product portfolio, which is generally passed on by OEMs to suppliers for production, often includes body parts that cannot always be manufactured economically with the prevailing production technology. The reason for this is a high diversity of model-variants, which requires smaller batches. To this end, highly flexible large-series production cells for body sheet components that can be scaled in all dimensions are being developed and tested. For the first time, they will make it possible to redesign the process planning in series production on a component-specific basis. The aim is to reduce production costs for new, geometrically different component variants. The basic components of the flexible manufacturing system are, firstly, new flexible forming technologies which have the potential to produce typical vehicle part geometries. Secondly, a process generator develops the corresponding production plan. A digital mapping of the manufacturing processes enables the selection of cost-, efficiency-, flexibility- and resilience-optimized production chains depending on the number of parts. Established manufacturing processes to produce car body components are supplemented in the cell by flexible processes such as 3D swivel bending. As a use case for flexible manufacturing, a concept for Rapid Tooling of 3D swivel bending tools is developed. In the flexible manufacturing system to be developed, a method of a standardized process sequence to produce forming tools within 24 h has been lacking to date. For this purpose, the concept of an automated design is being developed in which a reconfigurable tool body can be sliced into sheet metal stripes The active tool surface is additively manufactured after the tool has been packaged using LMD and adapted to individual requirements. The goal in the application of Rapid Tooling is to reduce lead times and development costs through a largely automated tool design and lead time-optimized manufacturing concept.

A holistic approach to kitting cart optimization and steel receiving analysis for process improvement

This paper investigates the optimization potential within the steel-receiving process and kitting cart management in modern manufacturing facilities. As evidenced by a 20% improvement at Asuruf Industrial, the study indicates how the increasing popularity of kitting, with its capacity to reduce assembly time and space through pre-sorted kits, synergizes with vital efficiency gains in steel receiving. The implementation of Lean manufacturing tools, coupled with strategic interventions, yielded significant operational enhancements, resulting in an annual savings of $121,143. This success reinforces that structured operational strategies and Lean tools are indispensable for elevating manufacturing productivity and profitability. Anticipating a 45 to 50% increase through automation and preventative maintenance, the study underscores ongoing improvements in the steel-receiving process, emphasizing the crucial role of teamwork and Lean principles in addressing industry challenges. This approach not only ensures heightened productivity and competitiveness in the manufacturing sector.

Enriching central memory T cells using novel bioreactor design for T cell manufacturing

The manufacturing of T cell therapies aims to achieve high yields of product with potent phenotypes. We have developed a novel bioreactor, Bioreactor with an Expandable Culture Area – Dual Chamber (BECA-D), which has previously demonstrated functionality for scaled T cell manufacturing. In this study, incorporation of a stirring mechanism into the double-chamber bioreactor design was tested to homogenize the media components between the two chambers. In addition to the improved media homogenization, the stirring culture was also observed to have higher yield and enrichment of central memory T cells, a T cell subpopulation that has been associated with improved therapeutic efficacy, as compared to a static control. BECA-D with a stirring mechanism (BECA-DS+), was evaluated for its performance in culturing T cells in comparison to a static control, BECA-D, and an industry benchmark, G-Rex10. BECA-DS+ was able to preferentially promote the enrichment of central memory T cells compared to the static cultures, indicative of the effect of the stirring mechanism. By achieving high T cell yields with a favorable subpopulation profile, the mechanical method of incorporating stirring into a double-chamber bioreactor such as BECA-D carries great potential as a useful research and manufacturing tool to support advanced T cell therapy manufacturing.

Digital Twins in Manufacturing: A Survey of Current Practices and Future Trends

Digital Twin (DT) is the advanced tool of smart manufacturing which provides a proper way to model, analyse, and control the physical systems. A DT is the lifelike rendition of a physical object or phenomenon that uses real-time actual phenomena data to depict its actions, efficiency, and responses within the surrounding context. This technology allows electronic manufacturers to obtain a real-time stream of their systems, in which predictive maintenance, increased operation effectiveness, and improved product quality can be attained. By developing an ever-evolving replica of the physical structures, systems or even operation lines, Digital Twins enable the functionality of exploring various demanding circumstances and schemata, all in order to make effective decisions. When the manufacturing environments are rapidly changing, and there are more interconnections between them, the use of Digital Twins is especially useful. They continue improvement by highlighting problems, forecasting failure, and making choices based on data. The purpose of this article is to examine smart manufacturing via the lens of IoT DT technology. It gives general information about its uses, such as in the processes, time-saving and safety measures. As well, the paper considers the difficulties related to the practical application of DT, including costs, data management, and requirements for the formation of standards. Thus, based on analysing future developments and the role of Digital Twins as an innovation enabler in different industries, this study can benefit scholars, practitioners, and politicians who look forward to unlocking the potential of this innovative solution.

Development and validation of a survey instrument for reusable sanitary products toward sustainable menstrual hygiene.

The predominant use of disposable, non-organic menstrual products has significant environmental impacts due to waste and resource depletion. Concerns over the environmental, economic, and health implications of menstrual hygiene management (MHM) have highlighted the need to explore sustainable options like reusable sanitary pads (RSPs). Despite their benefits, the adoption of RSPs is limited by a lack of awareness, availability, cost, and research. This study emphasizes the need for the development of an instrument that can capture the effectiveness, safety, and user satisfaction of RSPs, addressing a significant gap in the literature. Using a convenient sampling method, data were collected through a structured offline survey and the sample comprised 446 South Asian women of reproductive age. The instrument included 15 items designed to measure factors such as comfort, hygiene, convenience, and environmental consciousness. The instrument's reliability and validity are thoroughly assessed using reliability and factor analysis to ensure its effectiveness in capturing the multifaceted dimensions of MHM product choices. The study revealed that the overwhelming majority of women would prefer the option of RSPs that are comfortable, accessible, and easy to use and dispose of. The findings aim to provide a validated tool for manufacturers, policymakers, and researchers to evaluate reusable pads, promoting their broader acceptance and adoption of a sustainable and equitable approach to menstrual hygiene.

An Actualistic Experimental Study of Giant Quartzite Core Reduction Strategies: Implications for Large Flake Blank Production and Handaxe Manufacture at Amanzi Springs, South Africa

ABSTRACT The later Acheulian assemblages (ca. 534–< 390 ka) from Amanzi Springs in South Africa show a preferential selection for large flake blanks when undertaking large cutting tool manufacture. However, due to the small number of giant cores from the site, we have limited insight into the technical preparation of quartzite raw material packages for large flake production. Here, we present an actualistic experimental study to better understand these procedures at the site and to gain perspective on how knappers may have reduced quartzite boulders of differing internal qualities. Our results highlight the influence of raw material constraints and how the overall morphology of quartzite boulders in turn impacts giant core reduction sequences and large flake blank morphologies. Finally, the experimental study exemplifies the need for high levels of knapping expertise to deal with tough, heterogeneous quartzite varieties.

Investigations on laser-assisted turning of IN625 alloy with hot hardness approach using uncoated and CrAlSiN coated WC tools

This paper presents an investigation into the effect of laser-assisted turning of the IN625 superalloy using uncoated and CrAlSiN nanocomposite-coated tungsten carbide tools. A hot hardness test was conducted for IN625 material, which showed there was a pronounced softening of the material above 850 °C. This exercise guided the choice of laser power for the subsequent laser-assisted turning experiments. The cutting forces (radial/thrust, Fx; axial/feed, Fy; and tangential/cutting, Fz), maximum flank wear (VBBmax), and surface roughness ( Ra) were measured and analyzed for the planned experiments. The results demonstrated that at 2500 W laser power, a 9%, 70%, and 59% reduction of cutting forces for uncoated tools, and a 31%, 77%, and 69% reduction for CrAlSiN coated tools were observed in the Fx, Fy, and Fz directions respectively. At 2250 W laser power, the uncoated tools exhibited a 33% (433–289 µm) reduction in VBBmax and a 28% (1.8–1.3 µm) reduction in Ra. The CrAlSiN-coated tools, at 2500 W laser power, showed even more significant improvements, with reductions of 46% (365–232 µm) in VBBmax and 56% (1.4–0.8 µm) in Ra. The results underline the improved performance of laser-assisted turning for cutting-force and tool-wear reduction and improved surface finish with CrAlSiN-coated tools. This paper presents the potential of laser-assisted machining as a viable method for machining difficult-to-machine materials like IN625, which offers enormous manufacturing productivity and tool life benefits.

Lean Manufacturing Tools as a Driver of the Company’s Digital Transformation

The article substantiates the impact of applying lean manufacturing tools on the digital company’s transformation. The study distinguishes the main lean manufacturing tools that contribute to the optimisation of production processes, reduce losses and improve staff efficiency. Special attention is paid to the synergy of lean methods and digital technologies, which allows companies to adapt to changing market conditions and remain competitive by accelerating and replicating production processes in their digital transformation. The case study of implementing lean manufacturing tools at the Russian food industry enterprises, participants in the national project “Labour Productivity,” demonstrates the feasibility of implementing the key 5 lean manufacturing principles (sorting, organising, standardising, keeping clean and improving), along with the Manufacturing Execution System (MES). The author concludes that companies need to combine lean manufacturing and digital technologies to improve efficiency. Given the fact that lean manufacturing and information technology can conflict, providing their integration will increase the success of the digital company’s transformation. A lean manufacturing approach simplifies production processes, improves the efficiency of digitalisation and increases the likelihood of successful adoption of Industry 4.0 technologies.

Fabricating diamond bit by selective laser melting and its drilling performance evaluation

Diamond abrasive tools play an important role in efficient and precision machining of difficult-to-cut materials. As the traditional tool manufacturing process is difficult to meet the integrated molding preparation of complex structures, the use of selective laser melting (SLM) technology to manufacture diamond tools with functions and structures has become a research hotspot in recent years. In this paper, the feasibility and wear characteristics of diamond bits prepared by SLM using AlSi7Mg as metal matrix are investigated. The optimal parameter combination of diamond/AlSi7Mg mixture was obtained through orthogonal experiments, in which the powder layer thickness was 30 μm, the laser power was 300 W, the scanning speed was 3000 mm/s, and the scanning spacing was 120 μm. This parameter combination realized the improvement of the mechanical properties and the decrease of the porosity. Two types of bits with and without groove-structure (Labeled as Bit-G and Bit-N) were fabricated and their drilling performance were compared by processing BK7 optical glass. The results show that the Bit-G has more excellent machining performance, including lower drilling force, better hole quality and longer service life. According to the simulation results, the self-sharpening cycle of the Bit-G’s wear characteristics can be attributed to the groove structure that allows the coolant to be fully utilized in the bit/workpiece contacting area. This paper demonstrates the feasibility of the SLM process for the preparation of diamond tools and comprehensively analyzes the wear process, which provides reference value for further research on this process for the manufacturing of diamond abrasive tools.

Pleistocene Glacial Transport of Nephrite Jade from British Columbia, Canada, to Coastal Washington State, USA

Since prehistoric times, indigenous residents of southwest British Columbia, Canada, collected water-worn nephrite specimens from the gravel bars along the Fraser River, using the stone for the manufacture of tools that were widely traded with other tribes. Allochthonous nephrite occurs in another geologic setting. Late Pleistocene continental glaciers transported nephrite and many other rock types from western Canada to northwest Washington State, producing extensive sediment deposits that border the Salish Sea coast in Whatcom and Island Counties, Washington. This material was little utilized by indigenous residents, but “black jade” specimens are prized by modern collectors. The depositional history and mineralogy of this material has received little attention. X-ray diffraction and SEM/EDS analyses indicate that the Salish Sea “black jade” is a form of impure nephrite that probably originated from metamorphism of a mafic igneous parent material (metabasite). The texture consists of prismatic amphibole crystals (ferro-actinolite) set in a matrix rich in plagioclase feldspar. Pyrite inclusions are locally present. A second material, sometimes erroneously labelled “muttonfat jade” by amateur collectors, consists of an intermixture of quartz and sillimanite.

Simulation of economic benefit prediction model for green energy manufacturing based on production process thermal energy cycle and data mining

With the global focus on sustainable development and green manufacturing, there is an urgent need for companies to optimize their production processes to improve energy efficiency and reduce carbon emissions. An economic benefit prediction model based on thermal energy cycle and data mining in production process was developed to evaluate and optimize the economic benefit in green energy manufacturing process and provide theoretical support for enterprise decision-making. The thermal energy cycle model in the production process is studied and constructed, and its application in different production links is analyzed. Data mining technology is used to analyze historical production data to identify the key factors affecting the efficiency of thermal energy cycle. By constructing regression models and time series analysis, we predict the economic benefits under different optimization strategies. The simulation results show that by optimizing the thermal energy cycle, the energy utilization efficiency can be significantly improved, the production cost can be reduced, and the environmental impact can be reduced. Therefore, the combination of heat cycle optimization and data mining provides an effective economic benefit prediction tool for green energy manufacturing. Enterprises in the implementation of green manufacturing, should pay attention to the improvement of heat energy cycle, in order to achieve higher economic and environmental benefits, to contribute to sustainable development.