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By exploring the variables affecting cured layer thickness, the findings in this study are expected to improve DLP 3D printing technology in producing high-resolution structures, especially in the z-direction.
However, there is still no highly effective method to solve this problem, and there has yet to be a systematic investigation into the factors affecting the cured layer thickness.
This study aims to enhance DLP 3D printing technology by investigating factors influencing cured layer thickness from both material and optical perspectives.
Conclusions This study comprehensively investigated various factors to synthetically control the cured layer thickness from both material and optical perspectives, utilizing commercial resins.
This research paves the way for further advancements in 3D printing methodologies, offering potential improvements in both material properties and printing techniques.

Introduction Self-propagating high-temperature synthesis (SHS), or the so-called combustion synthesis (also known as "solid flame"), is a versatile and energy-efficient method for producing a wide range of refractory compounds (carbides, nitrides, borides, intermetallics etc.) and composite materials that possess fine-grained structure and superior properties [1].
The reasons for these effects cannot be reduced only to an increase in the contact surface area and a decrease in the size of particles/layers of reactants, i.e. the characteristic diffusion length, due to comminution and cold welding during MA [8] (these factors can lead only to a buildup of the conversion degree).
The synergetic effect of the aforesaid factors may also be responsible for the difference in the position of a maximum in curves TSHS(tMA) and uSHS(tMA), which was revealed experimentally during MA-SHS in the Ni-Ti and Ni-Al systems [7].
Dieter: Mechanical Metallurgy (McGraw-Hill, New York 1986) [11] L.V.
Rafalovski: Structure and Properties of Metals and Alloys: A Handbook (Naukova Dumka, Kiev 1986) (in Russian) [12] Smithells Metals Reference Book, 7th edition (Butterworth-Heinemann, Oxford 1992) [13] F.R.N.

Meanwhile, in order to find out the factors of affecting the growth and size of helium clusters, kinetic Monte Carlo (KMC) simulation was carried out to study the growth of helium cluster, based on the simulation of helium behavior in titanium using molecular dynamics.
The importance of understanding how the helium affects the mechanical properties of materials has been recognized since the 1950s [1].
It is well known that the accumulation of helium results in helium bubbles, and subsequently gives rise to the decline of macroscopic mechanical properties of the materials.
Meanwhile, some properties about defect evolution can also be predicted by KMC simulation. 2.

The Factors Influcing Energy Transfer Efficiency of Micro-actuator Aiqun Xu Zhejiang University of Science and Technology,318 Liuhe Road, Hangzhou 310023, Zhejiang Province, P.R.
Introduction GMM is a new kind of intelligent material which has many good properties like high powered, high strain, high electromechanical factor and quick response etc.
The performance of GMM and output feature of GMA are both affected by the strength of magnetic field and whether the design of magnetic field is appropriate or not affect the performance of GMA directly.
Electromechanical coupling coefficient k33 reflects the conversion efficiency between magnetic energy and mechanical energy which depends on GMM’s feature.
Fig(4) shows the contour map of geometrical factor in α-β plane.

A correlation between deformation level and rheological properties could also be observed, which can be very useful in the triage of adhesive batches for specific process parameters window.
Figure 1 - Application of chip onto substrate in FBGA technology PCB substrate, top side Adhesive Chip on adhesive Bottom side Bonding channel Bonding pads The primary factor affecting deformation stability is adhesive variability.
Adhesive basic properties (eg: viscosity, lap shear strength, ionic content) are provided by the supplier for each batch, but no data on deformation performance at chip-apply process is shared.
This DoE considered two control factors (pre-cure cycle and evaporation time at 60 ºC) with 3 levels, and adhesive batch as noise factor.
Besides pre-cure parameters, this is also an important factor affecting process stability.

Using such porous silicon properties, ring-shaped nanostructured zones allowing the creation of low rigidity membranes combined with central seismic masses were realized and tested.
The mechanical quality factor (fig 4b) admits an optimal value for a value close of width (L=13mm).
Babrier, On mechanical properties of nanostructured meso-porous silicon, Appl.
Canham, Properties of Porous Silicon, INSPEC, IEE, London, UK, 1997, p. 12
[6] See for a complete revue “properties of porous Si”, edited by L.

So far, there are several empirical equations can be used as the constitutive equations to describe the rheological properties of yield – pseudoplastic.
Orthogonal experimental design and analysis of result 1.Optimization experiment of additive and abrasive concentration Concentration of the additive in abrasive suspension jet is the key factor that affects rheological flow properties.
Thus, we first carried out optimization test about additive concentration and considering various factors, we select additive concentration of 0.35%.
Experimental factors level table shown in Table.
Table 1 ,Experimental factors level Grade preture(MPa)A Cutting speed（mm/min）B Target distence（mm）C 1 15(A1) 100(B1) 2(C1) 2 20(A2) 200(B2) 4(C2) 3 25(A3) 300(B3) 6(C3) 4 28(A4) 400(B4) 8(C4) We use the L16 (45) orthogonal table (table details omitted), the data from the table was calculated the table about analysis of range, which the maximum range was 35.3mm (produced by the B factor), and according to the calculation to draw the diagram about relative factors, as shown in figure 4.

Study of Physical and Mechanical Properties of Non-Polar Rubber-Based Sealants Depending on Filler Type and Volume V.D.
The properties of the fillers are shown in Table 1.
Properties of Fillers.
The change of physical and mechanical properties is shown in Fig 1-7.
Chen, Effect of Filler on the Compression Set, Compression Stress-Strain Behavior, and Mechanical Properties of Polysulfide Sealants, J.

A Study on the Factors Affecting the Uniformity of Urea and Exhaust Gas Using an SCR Simulator Munseok Choe1,a, Dogyeong Kang1,b and Dooseuk Choi2,c* 1Department of Mechanical Engineering, Graduate school, Kongju National University, Korea 2Division of Mechanical & automotive Engineering, Kongju National University, Korea acms0290@kongju.ac.kr, bdogyeong93@smail.kongju.ac.kr, c*dschoi@kongju.ac.kr Keywords: SCR (Selective Catalyst Reduction), NOx, Exhaust system, Mixer, Uniformity index Abstract.
An EGR (Exhaust Gas Recirculation) + LNT (Lean NOx Trap) system and a Urea SCR (Selective Catalyst Reduction) system are mostly developed as a plan to satisfy Tier 4, Euro-6 regulation and, to increase NOx reduction efficiency, development should be carryout out by changing the design factors such as the catalyst, mixer and injector in the LNT and SCR systems[5,6].
Table 1 shows the physical properties of water-soluble ammonia.
Due to the property of the non-mixer type, a flow has been generated that directly contacts the uniformity detector immediately after urea injection.
S., Thermodynamic kernel, IMEP, and response based on three plasma energies, Journal of Mechanical Science and Technology 32(8) (2018) 3983-3994

The interface of bolted joint commonly focuses on the research of non-linear damping and stiffness, which affect structural response.
Energy balancing method is developed to identify the dry-friction parameter and viscous damping factor.
Ren et al. [1] developed a general purpose technique based on multi-harmonic balance (MHB) to identify the properties of non-linear joints from dynamic test data.
Experiments Identifying the system parameter of bolted joint with non-linear factors need to obtain some equivalent input-output values according to Eq. (6) or (7).
Lim: Identification of properties of nonlinear joints using dynamic test data, American Society of Mechanical Engineers.