Datasets:

dchip95
/

diw_rheology

author large_string	year int64	journal large_string	ink_solid_phase large_string	shear_thinning_index float64	consistency_index float64	static_yield_stress float64	storage_modulus float64	loss_modulus float64	is_printable int64
An	2,020	Ceramics International	NiZn-ferrite	0.63	228.95	18.31	60,000	3,500	0
An	2,020	Ceramics International	NiZn-ferrite	0.84	2,240.13	279.79	200,000	20,000	1
An	2,020	Ceramics International	NiZn-ferrite	0.92	2,619.55	597.88	300,000	30,000	1
An	2,020	Ceramics International	NiZn-ferrite	0.89	3,539.68	683.02	400,000	70,000	1
Augusto	2,013	Food and Bioprocess Tech	Tomato Juice	0.56	0.27	0.93	null	null	0
Augusto	2,013	Food and Bioprocess Tech	Tomato Juice	0.56	0.19	0.94	null	null	0
Augusto	2,013	Food and Bioprocess Tech	Tomato Juice	0.56	0.16	0.73	null	null	0
Augusto	2,013	Food and Bioprocess Tech	Tomato Juice	0.56	0.14	0.56	null	null	0
Augusto	2,013	Food and Bioprocess Tech	Tomato Juice	0.58	0.13	0.48	null	null	0
Bastola	2,018	Polymer	null	0.98	3.89	null	null	null	0
Bastola	2,018	Polymer	null	0.86	2.22	null	null	null	0
Bastola	2,018	Polymer	null	0.63	29.74	null	null	null	0
Bastola	2,018	Polymer	null	0.66	24.96	null	null	null	0
Bastola	2,018	Polymer	null	0.25	11.52	null	null	null	0
Bastola	2,018	Polymer	null	0.19	374.3	null	null	null	0
Bastola	2,018	Polymer	null	0.22	651.6	null	null	null	0
Brounstein	2,021	Polymers	siloxane & silica	null	null	3,650	55,470	1,500	1
Brounstein	2,021	Polymers	siloxane and silica + W	null	null	3,390	42,600	2,000	1
Brounstein	2,021	Polymers	siloxane and silica + WO3	null	null	2,940	57,400	5,000	1
Brounstein	2,021	Polymers	siloxane and silica + B	null	null	400	78,720	10,000	0
Brounstein	2,021	Polymers	siloxane and silica + B + Gd2O3	null	null	5,330	2,277,190	200,000	1
Cao	2,019	Adv. Mat.	Cellulose NF	null	null	150	5,000	500	1
Cao	2,019	Adv. Mat.	CNF/LFP	null	null	700	5,000	300	1
Chan	2,020	American Ceramic Soc.	Alumina Emulsion	null	null	20	60,000	10,000	0
Chan	2,020	American Ceramic Soc.	Alumina Emulsion	null	null	8	10,000	2,000	0
Chan	2,020	American Ceramic Soc.	Alumina Emulsion	null	null	1	4,000	1,000	0
Chen	2,019	J. Alloys and Compounds	Titania	null	null	50	100,000	null	1
Chen	2,019	J. Alloys and Compounds	Titania	null	null	100	200,000	null	1
Chen	2,019	J. Alloys and Compounds	Titania	null	null	310	1,650,000	null	1
Chen	2,019	J. Alloys and Compounds	Titania	null	null	10	10,000	null	0
Chen	2,019	J. Alloys and Compounds	Titania	null	null	20	20,000	null	0
Chandrasekaran	2,022	ACS Materials Au	Graphene/MoS2	null	null	230	18,000	null	0
Chandrasekaran	2,022	ACS Materials Au	Graphene/MoS2	null	null	690	27,000	null	1
Cipollone	2,019	Thesis	Silver	0.74	108.93	19	null	null	1
Cipollone	2,019	Thesis	Silver	0.91	64.81	0.33	null	null	0
Cipollone	2,022	Appl. Mat. Int.	Alumina	0.41	832	755	2,000,000	1,000,000	1
Cipollone	2,022	Appl. Mat. Int.	ITO	0.76	62.6	7.16	30	20	1
Cipollone	2,021	J. Mat. Proc. Tech.	copper	0.17	879	274	91	null	1
Cipollone	2,021	J. Mat. Proc. Tech.	copper	0.26	426	658	150,000	30,000	1
Cipollone	2,021	J. Mat. Proc. Tech.	copper	0.14	1,063	267	100,000	50,000	1
Cipollone	2,021	J. Mat. Proc. Tech.	copper	0.15	993	353	400,000	150,000	1
Cipollone	2,021	J. Mat. Proc. Tech.	copper	0.18	656	741	300,000	65,000	1
Cipollone	2,021	J. Mat. Proc. Tech.	copper	0.16	1,346	716	150,000	40,000	1
Cipollone	2,021	J. Mat. Proc. Tech.	copper	0.18	1,163	1,502	450,000	100,000	1
Cipollone	2,021	J. Mat. Proc. Tech.	copper	0.29	456	1,299	400,000	90,000	1
Cipollone	2,021	J. Mat. Proc. Tech.	copper	0.15	1,358	1,012	250,000	70,000	1
Cipollone	2,021	J. Mat. Proc. Tech.	copper	0.93	15.46	5.5	null	null	0
Cipollone	2,021	J. Mat. Proc. Tech.	copper	1.02	4.06	8	null	null	0
Cipollone	2,021	J. Mat. Proc. Tech.	copper	0.59	6.03	6.5	null	null	0
Cipollone	2,022	Appl. Mat. Int.	ITO	0.83	13.43	1.25	null	null	0
Cipollone	2,021	J. Mat. Proc. Tech.	copper	null	null	183	4,361	null	0
Cipollone	2,021	J. Mat. Proc. Tech.	copper	0.16	377	309	700,000	100,000	0
Cipollone	2,021	J. Mat. Proc. Tech.	copper	0.17	1,128	279	500,000	100,000	0
Cipollone	2,020	Thesis	Alumina	0.9	1.69	3.22	null	null	0
Cipollone	2,019	Thesis	GE Silicone (white)	0.53	553.95	350	55,000	10,000	1
Cipollone	2,019	Thesis	GE Silicone (clear)	0.56	180	160	2,200	1,540	1
Cipollone	2,018	Thesis	PLA	0.79	335	null	null	null	0
Costakis	2,018	J. Eur. Ceramic Soc.	Boron Carbide	0.46	51.3	122	962	null	1
Costakis	2,018	J. Eur. Ceramic Soc.	Boron Carbide	0.47	66.5	359	3,418	null	1
Costakis	2,018	J. Eur. Ceramic Soc.	Boron Carbide	0.25	108.9	352	3,760	null	1
Costakis	2,018	J. Eur. Ceramic Soc.	Boron Carbide	0.44	11.6	24	64	null	0
Costakis	2,018	J. Eur. Ceramic Soc.	Boron Carbide	0.46	22.3	37	274	null	0
Costakis	2,018	J. Eur. Ceramic Soc.	Boron Carbide	0.38	14.6	20	155	null	0
Costakis	2,018	J. Eur. Ceramic Soc.	Boron Carbide	0.42	15.3	43	767	null	0
Costakis	2,018	J. Eur. Ceramic Soc.	Boron Carbide	0.36	55.4	83	1,844	null	0
Hamilton	2,018	Jour. Food Engr.	Vegemite	0.12	590	687	null	null	1
Hamilton	2,018	Jour. Food Engr.	Marmite	0.356	680	1,095	null	null	1
Hardin	2,015	Adv. Mat	PDMS SE1700	0.65	80	550	200,000	50,000	1
Herrada-Manchon	2,022	Gels	Hydrogel - BCP particles	0.54	93.25	142.08	1,100	null	0
Herrada-Manchon	2,022	Gels	Hydrogel - BCP particles	0.73	4.98	21.92	600	null	1
Herrada-Manchon	2,022	Gels	Hydrogel - BCP particles	0.62	70.38	125.46	1,500	null	1
Herrada-Manchon	2,022	Gels	Hydrogel - BCP particles	0.77	366	15.38	500	null	1
Hodaei	2,018	Appl. Mat. Int.	Polymer - IOP oparticles	null	null	2	100	10	0
Hodaei	2,019	Appl. Mat. Int.	Polymer - IOP oparticles	null	null	30	400	30	0
Hodaei	2,020	Appl. Mat. Int.	Polymer - IOP oparticles	null	null	300	2,000	150	1
Hodaei	2,021	Appl. Mat. Int.	Polymer - IOP oparticles	null	null	800	20,000	1,000	1
Ji	2,022	Additive Man.	Y2Al5O12	0.29	541	167	2,300	null	1
Ji	2,022	Additive Man.	Y2Al5O12	0.31	562	175	3,300	null	1
Ji	2,022	Additive Man.	Y2Al5O12	0.34	467	86	2,400	null	1
Jiang	2,018	Adv. Func. Mat.	GO	null	null	200	50,000	6,000	1
Jiang	2,018	Adv. Func. Mat.	GO	null	null	40	3,000	500	0
Kasraie	2,021	Additive Man.	epoxy, oclay	1	10	0.01	0	0	0
Kasraie	2,021	Additive Man.	Epoxy, ocaly, cnt	0.4	2,000	250	40,000	30,000	1
Kasraie	2,021	Additive Man.	Epoxy, ocaly, cnt	0.3	3,000	1,000	70,000	40,000	1
Kasraie	2,021	Additive Man.	Epoxy, ocaly, cnt	0.25	5,500	1,500	200,000	300,000	1
Kasraie	2,022	Additive Man.	Epoxy, ocaly, cnt	0.2	6,000	2,000	1,000,000	700,000	1
Kemp	2,021	Thesis	pre ceramic polymer, particles, fibers	0.24	358	371	2,540	null	1
Kemp	2,021	Thesis	pre ceramic polymer, particles, fibers	0.04	786	586	8,860	null	1
Kemp	2,021	Thesis	pre ceramic polymer, particles, fibers	0.13	950	503	48,800	null	1
Kemp	2,021	Thesis	pre ceramic polymer, particles	0.28	3,285	1,119	84,600	null	1
Kemp	2,021	Thesis	pre ceramic polymer, particles, fumed alumina	0.29	3,491	3,760	9,580	null	1
Kemp	2,021	Thesis	pre ceramic polymer, particles, fibers	0.24	358	371	2,540	null	1
Lamnini	2,022	Materials Letters	CMC + glass containing sealant	null	null	320	74,000	6,000	1
Lamnini	2,022	Materials Letters	CMC + glass containing sealant	null	null	960	140,000	15,000	1
Lamnini	2,022	Materials Letters	CMC + glass containing sealant	null	null	520	140,000	20,000	1
Lee	2,020	RSC Advances	Milk Product	0.64	950	105.95	18,894	null	1
Lee	2,020	RSC Advances	Milk Product	0.5	2,702	330.57	47,843	null	1
Lee	2,020	RSC Advances	Milk Product	0.86	0.02	0.01	null	null	0
Lee	2,020	RSC Advances	Milk Product	0.35	37.07	11.15	187	null	0
Lee	2,020	RSC Advances	Milk Product	0.56	422	78.23	7,131	null	0

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DIW Rheology Database

Dataset Summary

The DIW Rheology Database is a curated tabular dataset of rheological parameters for inks used in Direct Ink Writing (DIW). The dataset was assembled from literature collected during the author's PhD research and is intended to support analysis of relationships between rheology and printability in yield-stress fluids.

This database is a work in progress and will continue to expand as additional literature is reviewed and incorporated.

The present version focuses on rheological quantities associated with the Herschel-Bulkley model, together with bibliographic metadata, material descriptors, and a binary printability label.

Potential uses include exploratory analysis, literature comparison, printability modeling, and broader materials informatics workflows for extrusion-based additive manufacturing.

Dataset Structure

The dataset is distributed as a single CSV file.

Data Instances

Each row corresponds to a literature-derived ink formulation or experimental condition.

Number of Rows

311

Data Fields

author
First author associated with the literature source.
Type: string
year
Publication year of the source.
Type: integer
journal
Journal or publication venue.
Type: string
ink_solid_phase
Description of the primary solid phase in the ink.
Type: string
shear_thinning_index
Herschel-Bulkley flow behavior index, commonly denoted n.
Type: float
Units: dimensionless
consistency_index
Herschel-Bulkley consistency index, commonly denoted K.
Type: float
Units: typically Pa·s^n
static_yield_stress
Static yield stress of the ink.
Type: float
Units: Pa
storage_modulus
Storage modulus of the ink.
Type: float
Units: Pa
loss_modulus
Loss modulus of the ink.
Type: float
Units: Pa
is_printable
Binary indicator for whether the formulation was printable under the reported conditions.
Type: integer
Values:
- 1 = printable
- 0 = not printable

Data Types and Units

This dataset contains bibliographic, categorical, numerical, and binary fields.

Bibliographic / Descriptive Fields

author: string
year: integer
journal: string
ink_solid_phase: string

Rheological Fields

shear_thinning_index: float, dimensionless
consistency_index: float, typically Pa·s^n
static_yield_stress: float, Pa
storage_modulus: float, Pa
loss_modulus: float, Pa

Label Field

is_printable: binary integer (0 or 1)

Notes and Limitations

This dataset is literature-derived and should be interpreted with care. Reported rheological values may depend on test protocol, rheometer geometry, fitting approach, sample preparation, and printing conditions. Likewise, printability in DIW is context-dependent and may vary with nozzle geometry, extrusion pressure, print speed, layer height, and other process parameters.

The Herschel-Bulkley consistency index is typically interpreted in units of Pa·s^n, but users should verify unit conventions if combining this dataset with other rheology datasets.

Because this database is a work in progress, future versions may include additional records, expanded material descriptors, and revised field definitions.