scispace - formally typeset
Search or ask a question

What is a typical size of a milling machine´s working space? 


Best insight from top research papers

The typical size of a milling machine's working space can vary based on the specific machine being discussed. In the contexts provided, different sizes are mentioned. For instance, a prototype CNC milling machine tool was designed with a working area of 328 mm × 245mm × 100mm . Another study developed a small-scale 3-axis CNC milling machine with a size of 1000 mm (length) × 1000 mm (width) × 650 mm (long) and a worktable dimension of 300 mm (length) × 300 mm (width) × 20 mm (long) . Additionally, the reachable workspace of an industrial robot used for milling tasks was analyzed, dividing it into regions with varying milling accuracy levels . Therefore, the size of a milling machine's working space can range from smaller dimensions suitable for prototypes to larger dimensions for industrial applications, depending on the specific machine and its intended use.

Answers from top 5 papers

More filters
Papers (5)Insight
The paper focuses on impact tests in the working space of milling centers, but does not specify a typical size of a milling machine's working space.
The novel 4-DOF parallel mechanism designed for milling processes offers a non-singular workspace with high dexterity, suitable for various milling tasks, showcasing a significant working space capability.
The typical size of a milling machine's working space is 300 mm (length) × 300 mm (width) × 20 mm (long) with a maximum spindle speed of 24,000 rpm.
The paper focuses on determining accuracy contours and optimizing workpiece positioning for a robot milling machine, not specifying a typical size of a milling machine's working space.
Open accessJournal ArticleDOI
09 Nov 2018
2 Citations
The typical size of a milling machine's working space is 328 mm × 245mm × 100mm, as discussed in the paper on the design and analysis of a desktop CNC milling machine.

Related Questions

What is the size of the milky way?4 answersThe size of the Milky Way is described differently in the abstracts. Licquia and Newman estimate the exponential scale length ($L_d$) of the Milky Way's disk to be around 2.64-2.71 kpc, based on a Bayesian meta-analysis of 29 photometric measurements. Kuperjanov mentions that the Galaxy is about 1 kpc thick and 30-40 kpc wide, with the Sun located approximately 8.5 kpc from the core. Shea discusses the early 20th-century models, with Kapteyn suggesting a diameter of 50-60 thousand light years and Shapley proposing a different model. Schmidt-Kaler and Schlosser present high-resolution ultraviolet photometry, indicating a narrower brightness distribution compared to the visual.
What are the features of a milling tool?3 answersA milling tool typically consists of a shaft portion and a cutting portion. The cutting portion has multiple lands separated by chip flutes, with at least one land having teeth and at least one land having cutting edges arranged in helical segments at different pitch angles. The tool may also have swarf receptacles between the cutting edges to prevent burr formation. Additionally, the milling tool may have angularly spaced cutting edges forming an effective cutting edge, with a recess including a centering region and a driven region. Another type of milling tool includes blades arranged in an offset manner with unequal angle graduation in the circumferential direction. Furthermore, a milling tool may be equipped with various moving mechanisms and a precision detector for improved machining accuracy and efficiency.
What are the barriers to energy-efficient CNC milling?3 answersBarriers to energy-efficient CNC milling include the challenge of assuring the accuracy of energy forecast models. The selection of cutting parameters is crucial for energy optimization, and the axial and radial depth of cut have a significant impact on energy consumption. Achieving energy efficiency in machining processes requires the correct selection of cutting conditions, which can be achieved through online multi-objective optimization techniques. The biggest share of electrical energy demand in machine tools is required for non-cutting operations and bringing the machine to a ready state. Reasonable choice of cutting parameters is essential for energy efficiency in CNC milling, with cutting depth and width being the most influential parameters for specific energy consumption.
What are facts and figures about milling market size and strategies?5 answersThe milling market size and strategies can be evaluated using a decomposed Poisson regression model based on count data. This model allows for the evaluation of the size distribution, the changing number of flour mills for each size class, and the concentration of market power simultaneously. The empirical results indicate that the effects of changing wage rate and corporate bond rate have significant impacts on both the size distribution and the number of flour mills, but in opposite directions. Additionally, the U.S. flour milling industry has been found to have an oligopolistic market structure, as evidenced by the test for price leadership. These findings provide insights into the dynamics of the milling market and can inform strategies for market participants.
What is the correlation between particle size and retention percentage in a milling process?5 answersThe correlation between particle size and retention percentage in a milling process varies depending on the specific material being milled. In the case of WC powders used for cemented carbide cutting tools, a linear relation was observed between log(particle size) and log(milling time). For hair powders, an optimized milling procedure resulted in similar particle size distributions for different types of hair. In the milling process of ceramic materials, the particle size decreased with the process. However, in the milling of soft wheat flour, there was no clear correlation between particle size distribution and percentage of damaged starch. For eggshells, the particle retention percentage decreased with increasing ball milling time.
How small is Saccharomyces cerevisiae?3 answers

See what other people are reading

What are the design parameters that should be considered when creating curb inlets for efficient road drainage?
5 answers
Design parameters crucial for efficient road drainage through curb inlets include longitudinal and cross slopes, inlet opening size, rainfall intensity, and inlet type. Studies show that variations in longitudinal and cross slopes, as well as runoff rate, impact curb inlet efficiency. Additionally, the shape of the inlet (circular, rectangular, or grated) affects water release efficiency, with rectangular inlets performing best in quickly draining water from road surfaces. Optimizing cross slopes up to 10% can prevent hydroplaning for certain rainfall intensities and road widths, emphasizing the importance of considering cross slope design alongside inlet design work. Furthermore, hydraulic numerical simulations can aid in assessing grate inlet efficiency and optimizing drainage system designs according to different countries' regulations. Deep-cut curb inlets, especially road-curb cut cases, have shown significant efficiency improvements in managing stormwater runoff, highlighting their potential for reducing flooding risks in urban drainage projects.
Are flip-flops dangerous shoes?
5 answers
Flip-flops can pose risks due to altered gait patterns, increased muscle activity, and joint loading, potentially leading to foot problems. Studies show that flip-flops can result in higher peak plantar pressures compared to athletic shoes but lower pressures than bare feet. Additionally, flip-flop walking may decrease push-off capacity and increase the risk of falls, especially for individuals prone to fatigue or falls. However, innovations like flip-flops designed to prevent foot galling exist, emphasizing toe protection and simplicity in structure. While the debate on the safety of flip-flops continues, caution is advised, especially for those with specific foot health concerns or who are at risk of falls.
How does age influence job preferences in office jobs?
5 answers
Age significantly influences job preferences in office jobs. Research highlights that older workers prefer personal control over their workspace for comfort and productivity, valuing sustainability features more than younger employees. Younger workers, on the other hand, prioritize features supporting bicycle commuting and environments fostering teamwork, social interaction, and innovation. Understanding these preferences is crucial for organizations to create inclusive workspaces that cater to the diverse needs of different age groups. By adapting the office environment to accommodate varying preferences based on age, organizations can enhance job satisfaction, productivity, and overall well-being of their employees, ultimately leading to a more engaged and successful workforce.
What are the current standards and guidelines for ergonomics in the manufacturing industry?
5 answers
Current standards and guidelines for ergonomics in the manufacturing industry are evolving with the advent of Industry 4.0. The integration of human factors and ergonomics (HF/E) is crucial to enhance both system performance and employee well-being. Ergonomic analyses focus on tasks, worker anthropometrics, and workspaces to prevent injuries like soft tissue damage from repetitive motions. The implementation of ergonomics in industrial engineering optimizes production processes, prevents musculoskeletal issues, and boosts productivity. Modern technologies like Motion Capture suits enable real-time monitoring of qualitative parameters, enhancing the evaluation of manufacturing processes. Ergonomics development processes, such as participatory ergonomics, have shown significant improvements in productivity, well-being, and cost savings in manufacturing plants. These findings underscore the importance of integrating ergonomics into manufacturing practices to ensure efficiency, safety, and employee satisfaction.
What are some effective strategies for promoting collaboration in educational settings?
5 answers
Effective strategies for promoting collaboration in educational settings include leveraging digital tools like Miro for real-time idea sharing, establishing collaborative teams involving professionals, families, and service providers, and fostering partnerships between schools, families, and communities to enhance student success. It is crucial to engage in social learning and knowledge creation across various educational settings, from classrooms to policy-making committees, to mobilize untapped potential for improving student achievement, especially for those from disadvantaged backgrounds. Successful collaboration is associated with positive outcomes for students and equitable educational opportunities, despite challenges that may arise. By adopting multidisciplinary, interdisciplinary, or transdisciplinary models of collaboration, professionals can work together effectively to address the diverse needs of students, ensuring inclusive and supportive educational environments.
Does maintaining a constant value of motion uncertainty affect the proximity estimation between two moving users in indoor environments??
5 answers
Maintaining a constant value of motion uncertainty does not affect the proximity estimation between two moving users in indoor environments. This is because the proposed model for estimating movement distance based on different movement statuses can precisely identify the movement status of each segment, leading to improved accuracy in distance estimation. Additionally, the model for human trajectory identification in urban settings demonstrates that the uncertainty of the snapped trajectory varies with path length, indicating that as new segments are added to a path, the number of possibilities for earlier segments does not affect the proximity estimation between two moving users. Therefore, maintaining a constant value of motion uncertainty does not impact the proximity estimation between two moving users in indoor environments.
Does maintaining a constant value of motion uncertainty parameter affect the proximity estimation between two moving users?
10 answers
Maintaining a constant value of the motion uncertainty parameter significantly impacts the proximity estimation between two moving users, as evidenced by the research across various contexts. The motion uncertainty parameter is crucial in tracking and estimating the motion of users, especially in dynamic environments where precise proximity estimation is essential for applications like gesture recognition, object manipulation, and interaction within virtual environments. The uncertainty in motion parameters arises from factors such as sensor resolution and the variability in the measurement environment, which can affect the accuracy of joint estimation and, consequently, the estimation of proximity between moving users. The approach of integrating model parametric uncertainty to improve state tracking and motion model correction demonstrates that acknowledging and adjusting for motion uncertainty can enhance the accuracy of proximity estimation between moving users by compensating for initially inadequate system models. This is particularly relevant in scenarios where motion is highly uncertain, and traditional methods may not provide the required level of accuracy. Furthermore, the use of stochastic representation in optical flow formulation for estimating velocity fields introduces a method to naturally incorporate motion uncertainty into the measurement process, which can be beneficial for proximity estimation in fluid environments where the motion of users is influenced by the flow. This method's ability to account for small-scale uncertainty components and utilize a specific regularization term based on constant kinetic energy offers a nuanced approach to handling motion uncertainty. In the context of deploying deep neural networks for monocular depth estimation, the development of algorithms that require only one inference per input for uncertainty estimation highlights the importance of efficient and well-calibrated uncertainty estimates in improving proximity estimation between moving users in resource-constrained scenarios. Lastly, the investigation into the accuracy of 3D motion perception under varying sensory noise conditions reveals that motion uncertainty can lead to perceptual errors, such as confusing the direction of motion-in-depth, which could significantly impact the perceived proximity between moving users. This underscores the complexity of motion perception and the critical role of accurately managing motion uncertainty in proximity estimation tasks. In summary, maintaining a constant value of the motion uncertainty parameter affects the proximity estimation between two moving users by influencing the accuracy and reliability of the estimation process across various scenarios and applications.
What are the current trends in STEM education within the metaverse environment?
5 answers
Current trends in STEM education within the metaverse environment involve leveraging technologies like virtual reality (VR), artificial intelligence (AI), extended reality (XR), and the internet of everything (IoE) to enhance learning experiences. The metaverse offers virtual activities with real-world experiences, with a focus on augmentation and simulation in the learning process. STEM education aims to integrate multiple disciplines like engineering, art, and technology within a transdisciplinary approach to equip individuals with problem-solving skills. In the metaverse, students can access virtual workspaces, collaborate in laboratories, and engage in classrooms through digital avatars, benefiting from features like real-time voice chat and shared screen presentations. These trends highlight the growing importance of immersive technologies in transforming STEM education within the metaverse.
How does velocity affect the precision of ray pointer landing position prediction?
5 answers
Velocity plays a crucial role in predicting the precision of ray pointer landing positions. Research suggests that incorporating the motion of the head along with the controller movement significantly enhances prediction accuracy. Additionally, in the context of saccade landing position prediction, velocity profile methods are utilized to fit velocity data at the onset of saccadic events, aiding in predicting saccade amplitudes with reduced latency. These studies highlight the importance of velocity in improving prediction models for various applications, such as virtual reality selection movements and gaze-contingent rendering systems. By considering velocity data and incorporating it into prediction algorithms, more accurate and efficient outcomes can be achieved in tasks requiring precise positioning and movement predictions.
What is sollerman hand function test ?
5 answers
The Sollerman Hand Function Test (SHFT) is a significant assessment tool in medicine used to evaluate a patient's ability to perform activities of daily living, particularly focusing on hand functions. It consists of various tasks that are scored based on the patient's performance, providing valuable insights into motor recovery progress. Traditionally, the SHFT required the physical presence of a therapist and specific materials, making it time-consuming and clinic-dependent. However, recent advancements have led to the development of digital versions of subtests within the SHFT, enabling its use anywhere with minimal hardware requirements. Additionally, studies have shown that the SHFT is a reliable tool for evaluating hand functions in patients with conditions like Systemic Sclerosis, demonstrating excellent inter-rater and test-retest reliability.
Why 100mm in linear actuator?
4 answers
The choice of 100mm in linear actuators can be attributed to various design considerations and performance requirements outlined in the provided research contexts. For instance, a linear microactuator mentioned inachieved a sliding velocity and force of 100 mm/s and 12 mN, showcasing the capabilities of such actuators. Additionally, a linear actuator described infeatured a movable section with an output shaft, emphasizing the importance of stroke length in linear actuator design. These instances highlight the significance of 100mm as a common metric in linear actuator specifications, reflecting the balance between performance, size, and functionality in diverse applications.