Packing Efficiency Research Articles

Mechanically rejuvenated glassy polylactide with spatial heterogeneity and packing efficiency: Time dependence of deformation behavior

Mechanical rejuvenation is effective in conquering the physical aging of polymers, but its molecular origin is far from clear. Herein, glassy polylactide is subjected to mechanical rejuvenation under extensional stress field via “casting-thermal stretching”, and the joint effect of spatial heterogeneity and packing efficiency on the brittle-to-ductile transition is demonstrated. The extensional stress accelerates segmental relaxation and heavily enhances the spatial heterogeneity in activated amorphous fraction. The much larger extensional stress enhances the orientation and packing efficiency of polylactide chains, with the close-packing amorphous fraction restraining the molecular mobility but boosting self-reinforcement. Strong time-dependent deformation behavior is discovered in rejuvenated polylactide, with different draw ratios exhibiting quite different critical strain rates of ductile-to-brittle transition, and that with densified network even maintains high ductility at extremely high strain rate. This work provides new insights into mechanical rejuvenation and significant guidance for the processing of advanced biodegradable polymers.

Upcycling agricultural byproducts into eco-friendly food packaging

This investigation looks at the transformative potential of upcycling agricultural waste to make ecologically friendly food packaging. Agricultural wastes, which are frequently ignored, might be valuable resources in reversing the sustainable destiny of the packaging sector. We review recent research on plant-based byproducts, including proteins, polysaccharides, lipids, pigments, and minerals, that are isolated from agricultural waste. Creating edible and (bio)degradable packaging solutions that can include biobased active components, including flavorings, antioxidants, and antimicrobials, can begin with these compounds. Utilizing plant fibers from agricultural waste reduces environmental contamination while increasing packing efficiency. The review concentrates on packaging solutions that are good for the environment, like edible coatings and films with antioxidant and antibacterial qualities and active packaging made of phenolic chemicals. These innovations, derived from various foods and agricultural waste, satisfy customer demand for premium foods with longer shelf lives. A practical way to lessen the excessive use of non-biodegradable plastics is to create edible materials, especially in light of the global push for sustainability. These formulations can enhance food packaging performance since they are made from biowastes and biopolymers. Our comprehensive research synthesizes existing knowledge to shed light on the extraction, processing, and application of agricultural byproducts in packaging materials. The broad spectrum includes regulatory systems, processing techniques, biodegradability parameters, and the properties of various byproducts. By providing an all-encompassing viewpoint, this evaluation draws attention to current achievements and indicates avenues for more research and development. It provides a roadmap for the ecologically friendly upcycling of agricultural waste into sustainable food packaging, which helps to shift the packaging industry's paradigm continuously.

Nontoxic, precious-metal-free titanium-based metallic glasses with exceptional glass-forming ability and high specific strength

Titanium-based metallic glasses (TBMGs) are attracting broad interest due to their simultaneous light weight, superhigh strength, and specific strength, exceptional wear- and corrosion-resistance and biocompatibility, desirable for electronic, biomedical, and aerospace applications. However, the glass-forming ability (GFA) of TBMGs, except some containing significant amount of toxic (Be) or precious (Pd, Ag) elements, is disappointingly low, as manifested by a critical casting diameter (dc) not more than 6 mm, which significantly restricts their manufacturing and applications. Here, we report our discovery of a series of TBMGs in the (TiZrHf)x(CuNi)y(SnSi)z pseudo-ternary system. These alloys possess an exceptionally large dc, reaching up to 12 mm, doubling the current record for Be and precious-metal free TBMGs. Moreover, these alloys exhibit a low density (7.0–7.3 g/cm3), high fracture-strength (up to ∼2700 MPa), high specific fracture-strength (up to ∼370 N m g−1), and even good plasticity with a plastic strain of up to 9.4% upon compression. They also possess high activation energy for crystallization and high atomic packing efficiency, which provide an initial physical account for their exceptional GFA and manufacturability.

Effect of particle gradation on the properties of Mg(OH)2 slurry: viscosity, stability, and rheology

In this article, multipeak Mg(OH)2 slurries, that is, unimodal, bimodal, and trimodal, were prepared by blending Mg(OH)2 of distinct particle sizes (d 50 of 1, 3, 7, 10, and 20 μm). The effects of particle gradation on the properties of Mg(OH)2 slurry, such as viscosity, stability, and rheological behavior, were investigated. Also, the packing efficiency was analyzed by the compartment packing model. The results revealed that viscosity and stability decrease with particle size or larger particle mixing in unimodal and bimodal schemes. However, trimodal slurry viscosity did not significantly change with particle size ratio. The packing efficiency calculated by the compartment packing model has the opposite trend of viscosity, but this trend is not so strictly consistent in the three-peak gradation scheme. Among the unimodal, bimodal, and trimodal slurries with better viscosity and stability (10, 3 + 10 (3:7), and 1 + 7 + 10 μm (3:1:6)), the trimodal slurry had the lowest viscosity and the highest stability. Its highest yield stress (4.66 ± 0.23 Pa) and flow stress (7.67 ± 0.38 Pa) indicated its structural stability, and it showed good structural recovery capability, reestablishing about 87% in 60 seconds. This might be explained by the fine particles forming a bridge between the coarse particles, resulting in a stable and networked structure.

Effect of Zr content on the strain rate sensitivity of nanohardness of Ti-Zr-Cu-Ni-Al thin film metallic glass

The strain rate sensitivity of nanohardness of a magnetron sputtered Ti-Zr-Cu-Ni-Al thin film metallic glass has been investigated. Nanoindentation tests were performed at various loading rates on thin film metallic glasses with three different Zr content. Replacement of Ti with Zr has led to an increase in hardness due to higher atomic packing efficiency and stronger bonds. A non-serrated p-h curve independent of Zr content and a positive dependency of nanohardness on Zr content was observed. The negative strain rate sensitivity and enhancement of strain rate sensitivity with Zr content were discussed.

Heuristics Integrated Deep Reinforcement Learning for Online 3D Bin Packing

Online 3D Bin Packing Problem (3D-BPP) has a wide range of industrial applications and there is an emerging research interest in learning optimal bin packing policy and deploying it for real logistics applications. From the heuristic methods to the deep reinforcement learning (DRL) methods, the previous works have proposed many solutions to solve the online 3D-BPP. However, none of them have studied what and how heuristics can be modelled into DRL to build a more effective and practical bin packing pipeline. In this work, we thoroughly investigate what heuristics can be used in online 3D-BPP and how to effectively integrate the heuristics with the DRL. First, we design 3 different heuristics based on the physical rules of the real world and the experiences of the human packers, including the Physics-Heuristics, the Packing-Heuristics and the Unpacking-Heuristics. Second, we model the 3 types of heuristics into the DRL framework and propose a novel heuristic DRL method to solve the online 3D-BPP. Extensive experimental results show that our method achieves state-of-the-art bin packing performance and the resulting real-world system is able to reliably finish the bin packing task in real logistics scenarios. Supplementary video is available at https://www.youtube.com/watch?v=x8GpmEELq18. <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">Note to Practitioners</i> —The rapid growth of e-commerce has significantly increased the burden of human packers in logistic warehouses, where the workers need to pick the products from a conveyor and pack them into bins (i.e. the online 3D bin packing). Thus it is of great importance to develop intelligent robotic systems to replace human labor, which is a long-standing topic in the field of control and automation science. This paper makes a substantial contribution to the related field by studying the online 3D bin packing in terms of both the theory and practice. On the one hand, the simulated experiments suggest that the presented algorithm significantly improves the space utilization of bin packing. On the other hand, the robotic system developed based on the proposed method can favourably finish the bin packing task in real logistics scenarios, demonstrating the practical use of our approach. Consequently, the approach proposed in this paper is totally applicable in logistic warehouses and is promising to drastically improve the working efficiency of the product packing in real warehouses. In the future, we will extend the presented approach to pack irregular-shaped objects and then facilitate more logistics applications.

A three-energy equation model and estimation of effective thermal properties for transient analysis of bi-disperse packed bed thermocline storage system

For the first time, a complete set of the volume averaged governing equations based on a three-energy equation model has been proposed to attack the transient thermal response of a bi-disperse packed bed thermocline storage system, in which its void is filled by smaller particles (i.e. solid filler). Effective permeability, stagnant thermal conductivity and effective thermal conductivities for three individual phases, namely, the fluid phase, large particle phase and small particle phase of the bi-disperse packed bed storage system, have been evaluated taking full account of tortuosity and appealing to a volume averaging theory. Subsequently, the three individual energy equations in the three-energy model were coupled and analytically solved to reveal a transient behavior of the temperature fields of the individual phases. The effective discharging efficiency of the bi-disperse packing is found to decrease substantially as compared with that of the mono-disperse packing under equal pumping power. Though one can save a substantial initial cost by filling the void by solid fillers, one must pay a penalty of a higher cost in running the bi-disperse packed bed thermocline storage system. The analysis presented in this study serves to estimate both initial and running costs of a bi-disperse packed bed thermocline storage system.

3D Printing of Conversion Cathodes for Enhanced Custom-Form Lithium Batteries

Additive manufacturing techniques can enable the fabrication of batteries in nonconventional form factors, enabling higher practical energy densities due to improved power source packing efficiency. Furthermore, energy density can be improved by transitioning from conventional Li-ion materials to lithium metal anodes and conversion cathodes. Iron disulfide (FeS2) and iron trifluoride (FeF3) are two promising conversion cathodes of commercial and academic interest, but the 3D printing of inks made from these materials for custom-form battery applications has yet to be demonstrated. In this work, the deposition of FeS2 and FeF3 inks are investigated and optimized using direct-ink-write (DIW) 3D printing, in addition to the development of printable separators and packages to produce custom-form batteries. Two distinct custom form-factors, one on wave-shaped current collectors and the other on cylindrical rod current collectors, are demonstrated and shown to exhibit performance similar to coin cells when conventional Celgard separators are used. Additionally, FeF3 cells were integrated with a DIW printed separator consisting of an electrolyte exchanged PVDF-HFP based ionogel [1]. In the case of FeS2, it was found that cathodes with a ridged surface, produced from the filamentary extrusion of highly concentrated inks (60-70% solids w/w%) exhibited optimal power, uniformity, and stability [2]. Finally, progress toward fully-printing custom-form batteries using metal powder bed printed cases and stereolithographically printed gaskets is demonstrated. Overall, the additive manufacturing of conversion electrodes, separators, and battery packaging is shown to be a viable path toward the making of custom-form cells. More broadly, electrode ridging is found to optimize rate capability, a finding that may have broad impact beyond FeS2, FeF3 and additive manufacturing.[1] A.S. Lapp, L.C. Merrill, B.R. Wygant, D.S. Ashby, A.S. Bhandarkar, A. Zhang, E.J. Fuller, K.L. Harrison, T.N. Lambert, and A.A. Talin. Room Temperature Pseudo-Solid State Iron Fluoride Conversion Battery with High Ionic Conductivity. ACS Applied Materials & Interfaces 15, 893-902, 2022.[2] J.A. Cardenas, J.P. Bullivant, I.V. Kolesnichenko, D.J. Roach, M.A. Gallegos, E.N. Coker, T.N. Lambert, E. Allcorn, A.A. Talin, A.W. Cook, and K.L. Harrison. 3D Printing of Ridged FeS2 Cathodes for Improved Rate Capability and Custom-Form Lithium Batteries. ACS Applied Materials & Interfaces 14, 45342-45351. 2022.

Numerical simulations of sand‐screen performance in unconsolidated prepacked gravel screen

AbstractThis work addresses the ongoing challenge of optimizing sand control screens, attributed to a limited understanding of screen blocking. A novel one‐way computational fluid dynamics and discrete element method (CFD–DEM) coupling technique is presented to analyze the structural parameters of unconsolidated prepacked gravel screens (PPGS). CFD–DEM involves systematically investigating the width of the punched slot on the outer protective screen, the size of the gravel, and the efficiency of gravel packing to improve the antiblocking capability of unconsolidated PPGS. Results from numerical simulations reveal that under conditions of effective sand control, the amount of sand entering the gravel layer to the bridge (referred to as the sand pass rate) is positively correlated with the antilocking ability (referred to as oil productivity index) for unconsolidated PPGS. The efficiency of gravel packing has the most substantial effect on the antilocking performance of unconsolidated PPGS. The data suggest that appropriately reducing the efficiency of gravel packing can enhance the antilocking capability of unconsolidated PPGS. To design an unconsolidated PPGS with enhanced antilocking capability, the efficiency of gravel packing be determined first. Then, the gravel size is designed based on this efficiency, and the width relative to the gravel size is decided. This contemporary design principle diverges considerably from previous design principles for gravel‐packed sand control screens. Supporting validation experiments agree with simulation outcomes, suggesting the established one‐way CFD–DEM coupling method in this paper is suitable for analyzing the plugging mechanism of unconsolidated PPGS. Thus, the CFD–DEM coupling method improves the design of such screens for improved antiblocking performance.

Influence of friction on the packing efficiency and short-to-intermediate range structure of hard-sphere systems.

Using particle-resolved computer simulations, we investigate the effect of friction on the packing structure of hard-sphere mixtures with two kinds of particles under external compression. We first show that increasing friction between the particles results in a more disordered and less efficient packing of the local structure on the nearest neighbor scale. It is also found that standard two-point correlation functions, i.e., radial distribution function and static structure factor, show basically no detectable changes beyond short-range distances upon varying inter-particle friction. Further analysis of the structure using a four-point correlation method reveals that these systems have on the intermediate-range scale a three-dimensional structure with an icosahedral/dodecahedral symmetry that exhibits a pronounced dependence on friction: small friction gives rise to an orientational order that extends to larger distances. Our results also demonstrate that composition plays a role in that the degree of structural order and the structural correlation length are mainly affected by the friction coefficients associated with the more abundant species.

Cognitive Factors Affecting the Manufacturing Optimization Skills of Rural Indian BPO Workers

Crowdsourcing offers on-demand access to large numbers of human workers to implement new forms of human–computer collaborative functionalities that can be seamlessly integrated into advanced software and algorithms. However, crowdsourcing tasks are primarily undertaken by urban rather than rural workers. To enable the development of skilled rural employment, this research aims to assess rural crowdsourcing workers’ spatial reasoning and creative abilities and their abilities to solve irregular strip packing problems associated with the manufacture of sheet materials. The study conducted experiments and data collection with 140 rural Business Processing Outsourcing (BPO) workers located in six states of India. The statistical analyses of the data collected from seven rural BPO firms (140 rural workers) reveal that rural workers can achieve a 2D packing efficiency that is up to 8% higher than that of commercial algorithm outcomes. The results suggest that rural crowdsourcing can lead to effective job creation, skill development, and, for a modest cost, it can support industries that employ CAD/CAM systems to generate geometric data for common manufacturing processes.

Effects of planting density on test weight and related indexes of maize

AbstractMaize (Zea mays L.) is an important food crop in the world. Reasonably increasing planting density is an important way to increase maize yield. Test weight (TW) determines the classification and affects market price. In order to clarify the influence and mechanism of planting density on TW, in this study, a 2‐year field experiment was carried out in Tongliao, Inner Mongolia Autonomous Region in 2019 and 2020. Four widely planted maize hybrids and six planting densities (6.0, 7.5, 9.0, 10.5, 12.0, and 13.5 × 104 plants ha−1) were tested, using drip irrigation water and fertilizer integration. The output parameters measured were grain yield, TW, thousand‐kernel weight (TKW), kernel volume, kernel density (KD), kernels per unit volume (KPV), and kernel packing efficiency. The result showed that yields ranged from 12.04 to 16.58 ton ha−1and TW ranged from 751 to 807 kg m−3, which exceeded the requirements for classification as first‐grade maize (720 kg m−3). Both yield and TW have a quadratic curve relationship with planting density, but the planting density corresponding to the two indicators is different when they reach the maximum value. With the increase in planting density, the TKW decreased and KPV increased, which made the relationship between TW(y) and planting density (x) and expressed as y = ax2 + bx + c. Planting density had a significant influence on TW and the relationship between TW and planting density was consistent under growth years and maize varieties. Considering the economic benefits, the planting density corresponding to the maximum yield is strongly recommended for future maize production.

Morphological, physical, thermal, and mechanical properties with the aspect ratio effects of bio loose-fill packaging from corn stalk

Protective packaging, such as loose-fill material, is commonly used for void filling in packages during transportation and handling. Due to environment concerns about packaging materials, alternative materials derived from agricultural residues, such as corn stalks (CS), are of attention. Dried internodal CS without rind (DCS-R) were prepared as a cylindrical-shaped bio loose-fill packaging pieces (DCS-RP) at three different aspect ratios [length/diameter (L/D) of 0.4, 0.8, and 1.2]. The morphological, physical, and thermal properties of the DCS-RP were investigated and the effect of the L/D ratio of the DCS-RP was examined under compression loading. The DCS-RP exhibited a porous structure with a low density and bulk density, while the packing efficiency at all L/D ratios was less than 1. Different compressive resistance and failure patterns of the DCS-RP were obtained, depending on the direction of compression loading (parallel and perpendicular) to the DCS-RP. In addition, the L/D ratio of bulk DCS-RP also affected the compressive resistance. The results of this study provide important information for future investigations on the protective ability of DCS-RP to the products inside the packages during transportation and handling.

Tribological Characterization of UHMWPE Composites Reinforced with MoS2 and Graphite: A Comparative Study

This study presents a comprehensive analysis of the microstructural, physical and tribological properties of Ultra-High Molecular Weight Polyethylene (UHMWPE) composites reinforced with micro MoS2 and nano Graphite. Microstructural evaluations through Scanning Electron Microscopy (SEM) and Energy Dispersive X-ray Analysis (EDAX) reveal intriguing insights into the morphology and elemental composition of the reinforcement materials. SEM images unveil the nanoscale hexagonal lattice structure of nano graphite, affirming its suitability for composite applications. EDAX spectra confirm the purity of both nano graphite and micro MoS2, reinforcing their efficacy as reinforcement agents.Density assessments illustrate an increase in composite density with rising reinforcement percentages for both materials, attributed to their inherently higher densities. This increase in density is complemented by reduced porosity, signifying improved packing efficiency within the composite.Wear evaluations under various load and speed conditions elucidate the tribological behaviour of the composites. UHMWPE composites with micro MoS2 exhibit reduced wear rates, frictional forces, and coefficient of friction (COF) compared to neat UHMWPE, emphasizing the effective lubricating properties of MoS2. Conversely, UHMWPE composites with nano graphite outperform micro MoS2 counterparts across all parameters, showcasing superior wear resistance and friction reduction. This is attributed to nano graphite's lamellar structure, which facilitates enhanced lubrication and reduced friction.

Curved Ring Origami: Bistable Elastic Folding for Magic Pattern Reconfigurations

Abstract Ring origami has emerged as a robust strategy for designing foldable and deployable structures due to its impressive packing abilities achieved from snap-folding. In general, polygonal rings with rationally designed geometric parameters can fold into compact three-loop configurations with curved segments which result from the internal bending moment in the folded state. Inspired by the internal bending moment-induced curvature in the folded state, we explore how this curvature can be tuned by introducing initial natural curvature to the segments of the polygonal rings in their deployed stress-free state, and study how this initial curvature affects the folded configurations of the rings. Taking a clue from straight-segmented polygonal rings that fold into overlapping curved loops, we find that this behavior can be reversed by introducing curvature into the ring segments in the stress-free initial state such that the rings fold into a looped straight-line configuration with “zero” area. This strategy realizes extreme packing of the rings. In this work, by a combination of experimental observation, finite element analysis, and theoretical modeling, we systematically study the effect of segment curvature on folding behaviors, folded configurations, and packing abilities of curved ring origami with different geometries. It is anticipated that curved ring origami can open a new avenue for the design of foldable and deployable structures with simple folded configurations and high packing efficiency.

Optimizing Space Utilization In Container Packing

Container packing presents a complex optimization problem that seeks to efficiently pack diverse items into a fixed-size container. This study provides a comparative analysis of four algorithms -- Greedy Shelf, Shelfing with Rotation, Shelfing with Search, and Guillotine Paper Cutting -- investigating their proficiency in solving the container packing problem. Utilizing a set of four packages with differing dimensions and IDs, The study evaluated the performance of each algorithm. The results demonstrated that the Shelfing with Search algorithm outperformed its counterparts by yielding a stack height of 3019610 L units. Conversely, the Guillotine Paper Cutting algorithm performed poorly, with a stack height of 7537295 units. This research also explored the impact of different sorting methods on packing efficiency, revealing that sorting packages in descending order of height yields superior results. Consequently, this study provides an extensive evaluation of the various algorithms used for container packing, while suggesting promising directions for future research to enhance packing efficiency.

Optimization and Experimental Study of Structural Parameters for a Low-Damage Packing Device on an Apple Harvesting Platform

To address the issues of low efficiency and high damage rates during apple harvesting and packing, a parameter optimization experiment was conducted on a low-damage packing device for an apple harvesting platform based on Adams 2019 software. The aim was to reduce the mechanical damage to apples during the packing process. Firstly, kinematics and energetics analyses of the apple packing process were performed, and a mathematical model for damage energy was established to identify the main factors and their ranges that influence the mechanical damage to apples. Secondly, using the fruit damage rate and packing efficiency as the evaluation criteria, a second-order orthogonal rotating regression experiment was conducted with the inclination angle of the fruit conveying tube, the inner wall radius of the fruit conveying tube, and the length of the fruit conveying tube as the experimental factors. Regression mathematical models were established to assess the relationship between the evaluation criteria and the experimental factors. Finally, the impact of each experimental factor on the evaluation criteria was analyzed to determine the optimal structural parameters for the low-damage packing device of the apple harvesting platform, and validation experiments were conducted. The results showed that when the inclination angle of the fruit conveying tube was 47°, the inner wall radius of the fruit conveying tube was 84 mm and the length of the fruit conveying tube was 0.12 m, the average fruit damage rate was minimized at 7.2%, and the average packing efficiency was maximized at 1925 kg/h. These results meet the requirements for apple harvesting operations, and the research findings can serve as a reference for the structural design and packing operation parameter optimization of apple harvesting platforms.

Enhancing corrosion-resistant alloy design through natural language processing and deep learning.

We propose strategies that couple natural language processing with deep learning to enhance machine capability for corrosion-resistant alloy design. First, accuracy of machine learning models for materials datasets is often limited by their inability to incorporate textual data. Manual extraction of numerical parameters from descriptions of alloy processing or experimental methodology inevitably leads to a reduction in information density. To overcome this, we have developed a fully automated natural language processing approach to transform textual data into a form compatible for feeding into a deep neural network. This approach has resulted in a pitting potential prediction accuracy substantially beyond state of the art. Second, we have implemented a deep learning model with a transformed-input feature space, consisting of a set of elemental physical/chemical property-based numerical descriptors of alloys replacing alloy compositions. This helped identification of those descriptors that are most critical toward enhancing their pitting potential. In particular, configurational entropy, atomic packing efficiency, local electronegativity differences, and atomic radii differences proved to be the most critical.

High-pressure conformational and crystal polymorphs in 1-hexyl-3-methylimidazolium perfluorobutanesulfonate ionic liquid

An ionic liquid (IL) with conformational polymorphs indicated complicated phase transitions under high pressure (HP). The IL was 1-hexyl-3-methylimidazolium perfluorobutanesulfonate ([C6mim][PFBS]), which has cationic and anionic conformational degrees of freedom. Using HP Raman spectroscopy, a competition between cation and anion conformers corresponded to the HP crystal polymorph. The folding cation appeared at 3.7 GPa due to its flexibility. The rigid [PFBS]− anion also formed the gauche‘ conformer at 7.6 GPa for higher packing efficiency. The conformational flexibility was adjusted depending on pressure. The pressure-variant/invariant conformations were connected with the HP crystal polymorph of [C6mim][PFBS].

Bottlebrush Polymers at Liquid Interfaces: Assembly Dynamics, Mechanical Properties, and All-Liquid Printed Constructs.

Bottlebrush polymer surfactants (BPSs), formed by the interfacial interactions between bottlebrush polymers (BPs) with poly(acrylic acid) side chains dissolved in an aqueous phase and amine-functionalized ligands dissolved in the oil phase, assemble and bind strongly to the fluid-fluid interface. The ratio between NBB (backbone degree of polymerization) and NSC (side chain degree of polymerization) defines the initial assembly kinetics, interface packing efficiency, and stress relaxation. The equilibrium interfacial tension (γ) increases when NBB < NSC, but decreases when NBB ≫ NSC, correlating to a pronounced change in the effective shape of the BPs from being spherical to worm-like structures. The apparent surface coverage (ASC), i.e., the interfacial packing efficiency, decreases as NBB increases. The dripping-to-jetting transition of an injected polymer solution, as well as fluorescence recovery after photobleaching experiments, revealed faster initial assembly kinetics for BPs with higher NBB. Euler buckling of BPS assemblies with different NBB values was used to characterize the stress relaxation behavior and bending modulus. The stress relaxation behavior was directly related to the ASC, reflecting the strong influence of macromolecular shape on packing efficiency. The bending modulus of BPSs decreases for NBB < NSC, but increased when NBB ≫ NSC, showing the effect of molecular architecture and multisite anchoring. All-liquid printed constructs with lower NBB BPs yielded more stable structured liquids, underscoring the importance of macromolecular packing efficiency at fluid interfaces. Overall, this work elucidates fundamental relationships between nanoscopic structures and macroscopic properties associated with various bottlebrush polymer architectures, which translate to the stabilization of all-fluidic printed constructs.