U.S. flag

An official website of the United States government

Display Settings:

Items per page
You searched 8+ million full text articles

Try this search in 34+ million citations and abstracts

PMC Full-Text Search Results

Items: 15

1.
Figure 14

Figure 14. From: Parameter Estimation of the Thermal Network Model of a Machine Tool Spindle by Self-made Bluetooth Temperature Sensor Module.

Schematic summary.

Yuan-Chieh Lo, et al. Sensors (Basel). 2018 Feb;18(2):656.

CitationFull text

2.
Figure 15

Figure 15. From: Parameter Estimation of the Thermal Network Model of a Machine Tool Spindle by Self-made Bluetooth Temperature Sensor Module.

Demonstration of the thermo-feature identification system.

Yuan-Chieh Lo, et al. Sensors (Basel). 2018 Feb;18(2):656.

CitationFull text

3.
Figure 1

Figure 1. From: Parameter Estimation of the Thermal Network Model of a Machine Tool Spindle by Self-made Bluetooth Temperature Sensor Module.

System identification procedure.

Yuan-Chieh Lo, et al. Sensors (Basel). 2018 Feb;18(2):656.

CitationFull text

4.
Figure 5

Figure 5. From: Parameter Estimation of the Thermal Network Model of a Machine Tool Spindle by Self-made Bluetooth Temperature Sensor Module.

Sensor location and TNM representation in machine tool spindle.

Yuan-Chieh Lo, et al. Sensors (Basel). 2018 Feb;18(2):656.

CitationFull text

5.
Figure 7

Figure 7. From: Parameter Estimation of the Thermal Network Model of a Machine Tool Spindle by Self-made Bluetooth Temperature Sensor Module.

(a) Simulated heat generation varying with rotational speeds; (b) Estimated convective resistance varying with rotational speeds.

Yuan-Chieh Lo, et al. Sensors (Basel). 2018 Feb;18(2):656.

CitationFull text

6.
Figure 13

Figure 13. From: Parameter Estimation of the Thermal Network Model of a Machine Tool Spindle by Self-made Bluetooth Temperature Sensor Module.

Bode diagram of estimated TNM and 1st-order truncated model based on MOR.

Yuan-Chieh Lo, et al. Sensors (Basel). 2018 Feb;18(2):656.

CitationFull text

7.
Figure 2

Figure 2. From: Parameter Estimation of the Thermal Network Model of a Machine Tool Spindle by Self-made Bluetooth Temperature Sensor Module.

(a) 4-node Thermal Network Model (TNM) at operating mode; (b) 4-node TNM at natural cooling mode.

Yuan-Chieh Lo, et al. Sensors (Basel). 2018 Feb;18(2):656.

CitationFull text

8.
Figure 4

Figure 4. From: Parameter Estimation of the Thermal Network Model of a Machine Tool Spindle by Self-made Bluetooth Temperature Sensor Module.

(a) Evolution of BTSM and three types of temperature probes; (b) Experimental setup.

Yuan-Chieh Lo, et al. Sensors (Basel). 2018 Feb;18(2):656.

CitationFull text

9.
Figure 3

Figure 3. From: Parameter Estimation of the Thermal Network Model of a Machine Tool Spindle by Self-made Bluetooth Temperature Sensor Module.

(a) Circuit diagram of Bluetooth Temperature Sensor Module (BTSM); (b) Printed Circuit Board (PCB) layout of BTSM.

Yuan-Chieh Lo, et al. Sensors (Basel). 2018 Feb;18(2):656.

CitationFull text

10.
Figure 6

Figure 6. From: Parameter Estimation of the Thermal Network Model of a Machine Tool Spindle by Self-made Bluetooth Temperature Sensor Module.

(a) Experimental result of 12 nodes on 6021 rpm; (b) The transition region of reaching thermal equilibrium.

Yuan-Chieh Lo, et al. Sensors (Basel). 2018 Feb;18(2):656.

CitationFull text

11.
Figure 11

Figure 11. From: Parameter Estimation of the Thermal Network Model of a Machine Tool Spindle by Self-made Bluetooth Temperature Sensor Module.

External validation between measured temperature and predicted temperature of estimated TNM under stepwise rotational speed (3001, 5018, 7028 rpm).

Yuan-Chieh Lo, et al. Sensors (Basel). 2018 Feb;18(2):656.

CitationFull text

12.
Figure 8

Figure 8. From: Parameter Estimation of the Thermal Network Model of a Machine Tool Spindle by Self-made Bluetooth Temperature Sensor Module.

(a) Self-validation between predicted and measured steady state temperature, T1 to T4 are the positions of the rear bearing A, midpoint of inner housing, front bearing D, and midpoint of shaft, respectively; (b) Steady-state temperature validation.

Yuan-Chieh Lo, et al. Sensors (Basel). 2018 Feb;18(2):656.

CitationFull text

13.
Figure 9

Figure 9. From: Parameter Estimation of the Thermal Network Model of a Machine Tool Spindle by Self-made Bluetooth Temperature Sensor Module.

Model self-validation at operating mode with various rotation speeds (a) Rear bearing (T1) temperature validation (b) Midpoint of housing (T2) temperature validation (c) Front bearing (T3) temperature validation (d) Midpoint of shaft (T4) temperature validation.

Yuan-Chieh Lo, et al. Sensors (Basel). 2018 Feb;18(2):656.

CitationFull text

14.
Figure 10

Figure 10. From: Parameter Estimation of the Thermal Network Model of a Machine Tool Spindle by Self-made Bluetooth Temperature Sensor Module.

Model self-validation at natural cooling mode with various rotation speeds (a) Rear bearing (T1) temperature validation (b) Midpoint of housing (T2) temperature validation (c) Front bearing (T3) temperature validation (d) Midpoint of shaft (T4) temperature validation.

Yuan-Chieh Lo, et al. Sensors (Basel). 2018 Feb;18(2):656.

CitationFull text

15.
Figure 12

Figure 12. From: Parameter Estimation of the Thermal Network Model of a Machine Tool Spindle by Self-made Bluetooth Temperature Sensor Module.

(a) Hankel singular values; (b) Short circuit time constant method with C2–C4 are short circuited; (c) Pole location of estimated TNM when comparing with the Model Order Reduction (MOR) model, SCTC model and varying with rotational speed.

Yuan-Chieh Lo, et al. Sensors (Basel). 2018 Feb;18(2):656.

CitationFull text

Display Settings:

Items per page

Supplemental Content

Recent activity

Clear Turn Off Turn On

Your browsing activity is empty.

Activity recording is turned off.

Turn recording back on

See more...
You are here: NCBI > Literature > PubMed Central (PMC)
Support Center